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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1A1 is not prognostic in Lung Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.8
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.11
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
48%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
38%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4835.9
Number of samples
497
Samples
Sample
Description
TPM
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
14466.7
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
13942.9
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
13265.8
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
13035.9
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
12249.9
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
11340.5
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
11319.1
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
11082.0
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
10712.6
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
10561.9
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
10507.9
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
10500.1
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
10248.4
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
10188.2
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
9700.7
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
9572.0
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
9366.5
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
9315.9
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
8888.7
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
8841.8
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
8754.2
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
8502.5
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
8501.5
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
8409.9
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
8406.4
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
8323.2
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
8264.1
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
8189.9
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
8132.4
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
8088.7
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
8049.1
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
8042.3
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
8002.6
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
8001.8
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
7995.8
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
7989.7
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
7970.3
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
7933.7
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
7907.7
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
7807.2
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
7683.1
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
7636.9
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
7630.2
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
7625.0
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
7619.0
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
7600.7
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
7534.3
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
7499.5
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
7431.8
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
7403.2
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
7400.2
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
7368.3
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
7366.3
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
7345.7
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
7326.4
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
7290.3
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
7268.0
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
7250.7
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
7247.1
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
7200.8
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
7186.4
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
7179.4
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
7178.2
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
7073.3
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
7048.9
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
7043.1
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
6907.3
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
6883.5
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
6860.2
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
6828.3
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
6806.3
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
6730.9
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
6655.8
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
6649.9
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
6638.1
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
6621.2
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
6611.2
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
6607.6
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
6561.2
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
6545.2
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
6541.6
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
6517.4
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
6512.5
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
6496.1
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
6405.1
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
6378.2
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
6374.1
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
6348.0
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
6335.7
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
6275.3
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
6275.1
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
6251.6
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
6247.3
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
6244.7
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
6223.8
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
6189.2
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
6165.9
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
6135.9
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
6083.3
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
6075.1
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
6074.5
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
6058.3
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
6043.7
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
6040.9
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
6040.0
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
6028.2
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
6027.1
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
5952.0
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
5948.8
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
5912.1
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
5892.4
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
5886.7
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
5884.0
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
5879.7
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
5873.1
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
5871.9
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
5862.2
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
5854.1
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
5852.3
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
5834.8
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
5787.2
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
5756.7
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
5750.2
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
5719.3
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
5716.8
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
5711.4
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
5710.1
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
5709.8
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
5702.6
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
5700.9
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
5656.0
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
5655.0
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
5650.7
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
5631.2
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
5626.4
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
5625.5
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
5623.6
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
5620.9
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
5613.5
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
5607.2
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
5571.6
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
5545.0
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
5532.5
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
5531.5
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
5512.8
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
5456.1
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
5446.4
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
5432.8
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
5424.1
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
5416.9
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
5396.4
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
5393.2
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
5368.9
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
5364.0
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
5363.6
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
5348.3
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
5345.4
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
5342.7
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
5342.5
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
5340.6
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
5329.4
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
5279.2
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
5278.0
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
5229.8
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
5222.9
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
5221.2
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
5208.0
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
5170.6
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
5162.4
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
5150.3
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
5150.3
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
5147.0
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
5139.5
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
5116.0
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
5114.0
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
5105.2
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
5104.8
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
5096.4
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
5090.5
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
5081.5
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
5078.6
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
5077.7
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
5076.0
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
5074.9
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
5072.4
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
5061.8
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
5061.6
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
5054.9
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
5048.1
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
5028.9
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
5018.7
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
5011.1
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
5009.0
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
4984.1
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
4977.7
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
4956.5
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
4952.6
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
4923.0
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
4913.6
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
4904.2
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
4902.6
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
4862.6
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
4859.1
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
4857.0
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
4839.7
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
4812.6
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
4778.2
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
4768.5
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
4765.9
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
4764.8
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
4754.2
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
4743.8
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
4733.6
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
4727.4
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
4723.4
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
4717.8
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
4710.9
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
4701.4
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
4699.3
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
4673.4
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
4671.4
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
4658.3
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
4657.3
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
4636.9
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
4634.3
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
4628.1
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
4615.6
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
4593.6
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
4591.0
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
4573.7
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
4571.8
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
4547.4
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
4545.7
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
4542.9
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
4532.0
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
4527.4
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
4526.6
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
4525.8
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
4521.7
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
4515.4
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
4481.9
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
4481.1
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
4479.0
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
4469.3
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
4428.7
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
4428.4
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
4419.6
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
4400.0
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
4398.5
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
4397.4
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
4381.1
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
4363.0
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
4334.1
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
4321.3
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
4302.7
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
4294.8
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
4287.6
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
4281.5
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
4273.4
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
4269.4
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
4251.1
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
4250.1
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
4248.3
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
4245.7
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
4240.9
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
4239.9
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
4237.7
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
4237.5
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
4234.4
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
4228.4
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
4212.8
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
4210.3
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
4204.9
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
4198.8
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
4197.8
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
4181.0
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
4164.5
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
4155.5
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
4151.6
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
4148.7
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
4147.8
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
4130.4
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
4110.6
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
4103.6
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
4101.3
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
4099.7
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
4091.4
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
4090.4
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
4086.5
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
4078.0
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
4051.3
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
4048.9
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
4047.0
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
4045.3
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
4044.4
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
4035.9
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
4032.4
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
4027.3
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
4013.1
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
3986.8
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
3985.8
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
3976.5
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
3969.2
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
3961.6
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
3955.6
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
3947.3
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
3940.9
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
3938.3
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
3932.4
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
3923.2
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
3921.2
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
3920.1
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
3918.2
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
3915.1
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
3905.4
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
3894.9
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
3885.7
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
3879.4
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
3874.3
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
3859.9
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
3853.4
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
3851.8
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
3837.1
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
3821.1
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
3810.3
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
3804.1
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
3801.5
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
3801.0
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
3797.0
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
3786.4
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
3785.4
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
3777.0
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
3776.3
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
3751.9
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
3750.0
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
3747.3
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
3739.3
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
3732.0
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
3706.6
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
3703.0
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
3682.7
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
3671.1
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
3664.1
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
3651.2
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
3645.8
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
3639.6
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
3639.1
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
3632.6
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
3630.8
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
3630.2
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
3626.2
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
3624.8
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
3600.7
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
3597.9
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
3582.6
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
3582.2
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
3581.2
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
3574.4
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
3573.6
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
3573.5
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
3567.4
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
3565.1
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
3561.9
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
3554.0
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
3546.5
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
3543.1
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
3528.3
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
3521.8
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
3517.0
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
3495.2
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
3482.7
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
3464.3
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
3459.1
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
3451.3
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
3449.7
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
3442.5
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
3437.9
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
3430.1
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
3428.1
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
3426.5
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
3415.2
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
3406.0
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
3405.8
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
3403.6
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
3400.0
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
3384.0
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
3380.5
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
3373.6
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
3368.4
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
3351.0
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
3346.4
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
3342.7
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
3337.1
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
3296.3
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
3290.4
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
3289.6
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
3289.6
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
3284.7
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
3279.3
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
3269.9
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
3263.3
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
3260.4
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
3258.9
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
3255.8
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
3245.7
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
3244.0
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
3240.6
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
3233.0
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
3193.3
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
3184.1
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
3177.8
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
3176.3
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
3165.3
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
3151.0
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
3124.5
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
3121.5
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
3106.8
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
3101.7
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
3098.2
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
3085.2
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
3077.6
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
3071.9
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
3046.2
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
3044.6
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
3043.0
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
3026.7
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
2981.5
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
2977.6
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
2972.5
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
2966.5
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
2941.0
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
2937.2
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
2934.2
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
2932.6
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
2930.0
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
2929.7
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
2923.8
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
2921.7
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
2919.4
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
2918.9
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
2909.3
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
2907.9
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
2899.3
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
2890.6
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
2879.3
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
2874.1
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
2871.7
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
2868.2
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
2846.0
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
2779.2
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
2778.2
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
2762.9
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
2740.7
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
2738.1
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
2721.0
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
2683.8
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
2637.6
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
2631.6
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
2629.4
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
2628.9
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
2616.0
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
2605.2
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
2597.7
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
2585.6
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
2581.2
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
2564.2
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
2553.3
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
2551.8
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
2525.0
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
2500.8
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
2482.3
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
2471.7
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
2469.3
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
2455.1
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
2454.5
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
2414.1
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
2368.1
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
2343.8
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
2309.2
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
2276.8
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
2256.0
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
2236.4
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
2225.5
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
2208.4
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
2180.1
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
2157.1
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
2119.9
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
2102.0
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
2034.8
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
2018.1
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
2006.7
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
1987.4
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
1965.5
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
1833.7
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
1774.1
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
1007.1
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1A1 is not prognostic in Lung Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.51
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.18
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
68%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
6932.5
Number of samples
105
Samples
Sample
Description
TPM
L731
59 years, female, stage:Stage IA, dead, 964 days
14390.7
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
13669.7
L603
70 years, female, stage:Stage IB, dead, 972 days
12563.6
L850
77 years, male, stage:Stage IIIA, dead, 997 days
11833.9
L683
77 years, female, stage:Stage IIA, dead, 612 days
11615.0
L829
76 years, male, stage:Stage IA, alive, 2173 days
11525.0
L473
66 years, female, stage:Stage IA, alive, 3021 days
10659.8
L439
80 years, male, stage:Stage IIB, dead, 2773 days
10449.7
L561
62 years, female, stage:Stage IA, alive, 2543 days
10449.3
L778
65 years, female, stage:Stage IA, alive, 1600 days
10130.4
L890
56 years, female, stage:Stage IIB, dead, 1264 days
9907.1
L662
66 years, male, stage:Stage IA, dead, 865 days
9874.7
L791
66 years, female, stage:Stage IIIA, dead, 368 days
9850.7
L773
64 years, female, stage:Stage IV, dead, 311 days
9616.2
L851
70 years, male, stage:Stage IB, dead, 1315 days
9464.8
L871
74 years, male, stage:Stage IB, dead, 873 days
9240.2
L546
57 years, male, stage:Stage IA, dead, 973 days
9193.1
L808
48 years, female, stage:Stage IA, alive, 3001 days
9104.7
L689
69 years, male, stage:Stage IA, alive, 1943 days
8952.5
L885
62 years, female, stage:Stage IA, alive, 1618 days
8874.7
L865
75 years, female, stage:Stage IIB, alive, 1927 days
8402.5
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
8380.7
L816
73 years, female, stage:Stage IIA, dead, 353 days
8267.4
L602
69 years, female, stage:Stage IA, alive, 2277 days
8251.5
L867
62 years, female, stage:Stage IIIA, dead, 317 days
8233.6
L782
73 years, female, stage:Stage IIB, alive, 3371 days
8150.9
L842
62 years, female, stage:Stage IB, alive, 2005 days
8088.3
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
8050.1
L875
69 years, female, stage:Stage IA, alive, 1675 days
8027.7
L616
54 years, male, stage:Stage IA, dead, 410 days
7984.0
L620
70 years, female, stage:Stage IIIA, dead, 338 days
7947.1
L605
74 years, female, stage:Stage IA, alive, 2460 days
7889.1
L557
81 years, female, stage:Stage IB, alive, 2580 days
7706.1
L673
74 years, female, stage:Stage IA, dead, 568 days
7698.8
L678
65 years, female, stage:Stage IB, dead, 1114 days
7610.3
L682
64 years, female, stage:Stage IIB, dead, 840 days
7571.3
L462
67 years, male, stage:Stage IIIA, dead, 568 days
7559.4
L656
58 years, male, stage:Stage IA, alive, 2227 days
7407.3
L738
74 years, female, stage:Stage IB, dead, 1314 days
7375.0
L400
78 years, male, stage:Stage IIA, dead, 1233 days
7368.9
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
7304.2
L695
68 years, female, stage:Stage IB, dead, 1762 days
7254.2
L569
76 years, female, stage:Stage IA, alive, 2531 days
7160.9
L458
76 years, female, stage:Stage IA, dead, 223 days
7143.6
L872
71 years, female, stage:Stage IA, alive, 1793 days
7131.1
L606
55 years, male, stage:Stage IA, alive, 2336 days
7089.6
L630
65 years, female, stage:Stage IA, dead, 1733 days
7058.9
L617
68 years, male, stage:Stage IIIA, dead, 238 days
6980.8
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
6940.1
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
6908.4
L877
70 years, female, stage:Stage IA, alive, 1599 days
6895.1
L873
62 years, female, stage:Stage IA, alive, 1740 days
6781.2
L828
68 years, female, stage:Stage IIB, alive, 2222 days
6760.6
L446
71 years, female, stage:Stage IIB, dead, 415 days
6647.3
L827
70 years, male, stage:Stage IIB, dead, 1105 days
6640.3
L832
65 years, female, stage:Stage IA, alive, 2145 days
6638.3
L585
70 years, female, stage:Stage IIA, dead, 402 days
6490.1
L703
71 years, male, stage:Stage IIA, dead, 1137 days
6487.8
L766
59 years, male, stage:Stage IB, alive, 1793 days
6460.4
L532
69 years, female, stage:Stage IA, dead, 301 days
6423.5
L551
62 years, male, stage:Stage IA, alive, 2924 days
6374.9
L826
45 years, female, stage:Stage IV, dead, 935 days
6370.2
L530
76 years, female, stage:Stage IIA, dead, 308 days
6355.4
L768
60 years, male, stage:Stage IIIA, dead, 472 days
6302.8
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
6229.9
L566
58 years, male, stage:Stage IB, alive, 2489 days
6064.8
L404
74 years, female, stage:Stage IIA, dead, 2318 days
6023.5
L746
64 years, female, stage:Stage IIIA, dead, 594 days
5880.8
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
5858.2
L531
74 years, male, stage:Stage IB, dead, 928 days
5843.5
L601
75 years, male, stage:Stage IB, dead, 2068 days
5655.8
L493
56 years, female, stage:Stage IIB, alive, 2945 days
5590.1
L810
64 years, female, stage:Stage IIIA, dead, 625 days
5543.8
L879
75 years, male, stage:Stage IV, dead, 873 days
5497.3
L613
72 years, male, stage:Stage IIIA, dead, 19 days
5453.5
L887
77 years, male, stage:Stage IA, dead, 374 days
5369.1
L413
72 years, female, stage:Stage IIIA, dead, 313 days
5303.0
L455
52 years, female, stage:Stage IA, alive, 3315 days
5253.6
L688
57 years, male, stage:Stage IIIA, dead, 789 days
5245.9
L638
65 years, male, stage:Stage IA, alive, 2076 days
5243.0
L565
59 years, female, stage:Stage IB, dead, 543 days
5207.0
L545
60 years, female, stage:Stage IA, alive, 2874 days
5128.1
L728
77 years, male, stage:Stage IIB, dead, 1128 days
4812.9
L626
76 years, female, stage:Stage IA, dead, 1994 days
4771.4
L838
71 years, female, stage:Stage IA, dead, 1005 days
4771.3
L543
65 years, male, stage:Stage IA, alive, 2711 days
4770.8
L749
49 years, female, stage:Stage IIIA, dead, 189 days
4703.8
L880
75 years, female, stage:Stage IA, alive, 1767 days
4648.8
L663
62 years, female, stage:Stage IB, alive, 2018 days
4629.0
L802
62 years, female, stage:Stage IA, dead, 773 days
4575.4
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
4496.0
L440
80 years, male, stage:Stage IIB, dead, 651 days
4434.4
L484
64 years, female, stage:Stage IA, alive, 2895 days
4422.2
L735
75 years, female, stage:Stage IA, alive, 1830 days
4350.3
L596
74 years, female, stage:Stage IA, alive, 2319 days
4140.6
L725
64 years, female, stage:Stage IA, alive, 1830 days
4028.9
L541
70 years, female, stage:Stage IIIA, dead, 915 days
4027.3
L800
66 years, female, stage:Stage IA, dead, 2417 days
3925.8
L607
59 years, male, stage:Stage IB, alive, 2572 days
3807.7
L593
78 years, male, stage:Stage IA, dead, 2436 days
3807.4
L710
72 years, female, stage:Stage IIA, alive, 1775 days
3732.3
L599
80 years, male, stage:Stage IB, dead, 2083 days
3349.6
L504
65 years, female, stage:Stage IA, dead, 1295 days
3302.2
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
3299.4
L831
62 years, female, stage:Stage IB, alive, 2152 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1A1 is not prognostic in Lung Squamous Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.81
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.15
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
54%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5141.1
Number of samples
489
Samples
Sample
Description
TPM
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
19041.8
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
18736.4
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
17012.5
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
14846.3
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
14725.6
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
13428.1
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
12210.2
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
11966.1
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
11768.8
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
11121.8
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
10940.5
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
10672.1
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
10389.6
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
9767.0
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
9608.1
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
9559.5
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
9528.2
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
9201.9
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
9175.7
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
9144.8
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
9117.4
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
9107.7
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
8990.1
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
8954.0
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
8916.1
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
8870.5
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
8781.9
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
8754.6
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
8715.2
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
8545.8
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
8440.6
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
8428.7
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
8390.6
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
8073.4
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
8060.8
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
8057.7
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
8006.4
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
7993.4
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
7900.9
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
7874.2
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
7854.9
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
7828.6
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
7740.0
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
7739.3
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
7692.0
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
7620.5
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
7605.6
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
7604.7
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
7573.5
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
7552.1
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
7473.2
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
7470.9
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
7463.9
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
7433.3
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
7430.1
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
7420.0
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
7402.8
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
7393.0
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
7371.2
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
7357.5
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
7356.1
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
7333.9
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
7299.2
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
7291.7
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
7276.7
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
7252.1
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
7204.8
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
7194.8
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
7192.6
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
7186.0
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
7164.2
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
7155.3
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
7117.9
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
7067.0
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
7061.5
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
7049.8
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
7048.4
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
7031.7
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
7031.3
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
7012.2
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
6997.6
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
6988.4
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
6973.7
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
6962.2
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
6959.0
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
6944.8
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
6905.7
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
6887.6
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
6853.9
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
6853.1
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
6823.4
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
6805.5
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
6781.1
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
6777.6
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
6726.5
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
6724.0
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
6669.1
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
6668.8
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
6646.5
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
6631.4
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
6619.0
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
6608.6
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
6605.3
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
6590.3
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
6572.3
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
6563.7
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
6551.1
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
6528.4
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
6478.3
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
6455.1
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
6449.8
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
6418.2
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
6348.5
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
6250.6
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
6197.9
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
6118.7
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
6100.1
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
6090.5
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
6063.7
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
6059.6
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
6055.8
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
6035.1
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
6013.2
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
6000.9
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
5999.8
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
5998.0
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
5995.0
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
5983.1
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
5975.8
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
5969.3
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
5960.5
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
5936.7
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
5934.6
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
5893.9
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
5891.5
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
5859.8
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
5857.1
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
5856.3
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
5853.0
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
5834.1
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
5804.5
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
5786.5
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
5777.5
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
5775.9
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
5702.7
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
5661.7
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
5661.5
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
5645.0
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
5607.9
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
5604.0
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
5601.2
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
5594.8
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
5586.8
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
5585.8
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
5579.5
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
5572.5
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
5564.1
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
5529.4
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
5528.5
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
5512.8
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
5510.6
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
5494.6
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
5483.1
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
5460.5
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
5459.6
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
5442.0
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
5439.8
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
5436.8
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
5429.9
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
5409.8
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
5406.1
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
5402.0
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
5372.3
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
5366.2
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
5351.8
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
5341.0
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
5329.3
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
5328.0
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
5314.8
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
5314.1
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
5304.0
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
5291.0
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
5289.3
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
5278.1
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
5248.2
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
5239.8
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
5239.7
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
5227.2
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
5210.0
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
5185.5
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
5177.2
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
5156.2
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
5148.8
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
5136.4
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
5117.1
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
5115.8
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
5097.0
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
5090.7
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
5082.3
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
5080.7
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
5074.3
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
5066.7
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
5034.0
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
5029.5
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
5025.1
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
5024.8
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
5011.7
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
5010.5
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
4998.4
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
4995.6
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
4980.1
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
4979.6
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
4969.1
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
4965.0
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
4958.2
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
4953.8
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
4945.6
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
4943.8
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
4922.8
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
4919.3
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
4910.5
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
4909.2
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
4894.7
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
4861.6
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
4837.6
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
4827.6
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
4826.3
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
4824.5
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
4820.2
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
4806.1
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
4804.6
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
4774.9
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
4760.4
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
4758.4
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
4739.5
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
4733.7
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
4732.9
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
4727.0
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
4724.8
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
4717.7
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
4707.2
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
4685.8
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
4685.3
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
4672.4
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
4665.8
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
4662.9
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
4656.7
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
4652.8
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
4649.4
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
4643.7
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
4629.0
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
4618.2
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
4615.1
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
4614.7
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
4612.4
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
4596.7
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
4593.6
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
4586.6
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
4576.0
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
4564.9
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
4551.1
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
4550.3
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
4537.7
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
4529.4
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
4524.9
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
4520.7
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
4510.0
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
4509.8
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
4487.0
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
4482.0
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
4473.7
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
4469.4
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
4460.9
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
4460.2
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
4458.8
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
4456.0
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
4437.1
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
4433.2
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
4424.7
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
4424.7
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
4406.5
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
4371.8
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
4369.5
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
4368.4
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
4359.0
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
4350.5
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
4315.6
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
4314.7
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
4309.0
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
4279.8
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
4278.1
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
4255.4
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
4252.6
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
4243.0
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
4241.3
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
4236.0
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
4213.6
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
4213.1
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
4207.6
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
4204.3
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
4193.6
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
4184.4
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
4177.1
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
4171.7
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
4170.8
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
4166.5
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
4164.8
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
4154.4
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
4143.2
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
4118.0
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
4115.3
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
4102.2
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
4092.8
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
4082.9
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
4070.9
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
4058.4
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
4057.0
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
4052.0
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
4043.9
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
4035.4
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
4026.6
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
4017.0
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
4016.6
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
4011.0
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
3996.3
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
3989.1
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
3986.7
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
3984.4
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
3976.0
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
3973.4
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
3967.9
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
3955.9
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
3951.0
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
3936.8
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
3932.9
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
3927.0
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
3924.2
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
3906.2
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
3900.6
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
3895.9
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
3895.4
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
3866.1
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
3851.7
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
3840.6
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
3823.4
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
3810.7
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
3805.2
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
3785.5
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
3784.3
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
3784.2
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
3779.6
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
3778.0
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
3764.7
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
3763.4
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
3751.9
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
3727.9
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
3723.9
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
3723.4
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
3718.9
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
3718.6
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
3718.2
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
3711.2
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
3710.0
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
3709.8
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
3705.8
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
3691.0
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
3678.3
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
3671.1
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
3658.7
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
3656.1
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
3648.7
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
3647.6
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
3611.9
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
3604.9
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
3595.0
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
3582.7
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
3576.3
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
3576.2
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
3570.2
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
3569.7
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
3564.6
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
3557.8
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
3556.3
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
3547.9
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
3541.0
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
3527.6
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
3524.3
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
3517.9
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
3517.5
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
3504.8
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
3489.5
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
3483.2
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
3479.2
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
3450.0
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
3446.9
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
3446.7
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
3444.5
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
3431.9
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
3413.1
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
3372.2
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
3371.4
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
3369.8
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
3360.4
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
3353.6
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
3344.5
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
3339.9
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
3331.9
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
3321.3
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
3311.8
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
3309.2
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
3293.3
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
3276.2
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
3266.7
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
3253.5
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
3250.4
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
3247.2
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
3242.4
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
3234.4
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
3233.2
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
3216.1
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
3209.9
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
3190.5
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
3183.4
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
3172.3
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
3171.1
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
3168.5
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
3159.7
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
3157.5
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
3143.5
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
3139.1
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
3126.5
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
3126.4
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
3117.0
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
3104.8
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
3096.9
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
3094.4
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
3091.9
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
3085.0
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
3074.0
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
3059.2
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
3036.9
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
3029.0
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
3004.8
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
3001.0
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
2994.4
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
2976.6
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
2963.6
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
2963.1
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
2945.7
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
2943.9
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
2924.4
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
2922.0
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
2902.4
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
2894.6
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
2891.2
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
2860.1
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
2851.4
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
2815.6
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
2796.1
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
2781.5
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
2704.9
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
2693.6
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
2671.0
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
2656.0
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
2647.7
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
2644.1
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
2636.6
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
2636.3
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
2630.0
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
2604.1
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
2556.4
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
2466.2
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
2457.6
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
2432.3
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
2371.7
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
2359.6
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
2348.8
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
2305.6
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
2290.2
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
2251.3
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
2123.7
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
2114.8
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
2108.4
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
2088.6
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
1991.9
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
1907.6
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
1849.8
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
1833.9
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1A1 is not prognostic in Lung Squamous Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.6
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.085
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
61%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
6432.4
Number of samples
68
Samples
Sample
Description
TPM
L753
61 years, male, stage:Stage IIA, alive, 1705 days
15079.6
L739
49 years, female, stage:Stage IIIA, dead, 352 days
13037.9
L466
65 years, female, stage:Stage IIIA, dead, 412 days
12385.2
L592
61 years, male, stage:Stage IB, alive, 2368 days
10327.6
L650
69 years, female, stage:Stage IB, dead, 986 days
9119.8
L818
67 years, male, stage:Stage IB, alive, 2480 days
8981.8
L459
75 years, male, stage:Stage IIA, alive, 3181 days
8833.7
L852
64 years, male, stage:Stage IB, dead, 700 days
8629.7
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
8439.2
L539
78 years, male, stage:Stage IB, dead, 370 days
8056.8
L820
73 years, female, stage:Stage IA, alive, 2405 days
8052.7
L420
57 years, female, stage:Stage IIB, dead, 295 days
7945.3
L457
46 years, female, stage:Stage IIA, alive, 2901 days
7843.6
L723
67 years, male, stage:Stage IIA, dead, 433 days
7758.1
L468
53 years, male, stage:Stage IB, alive, 3004 days
7699.4
L744
75 years, male, stage:Stage IA, alive, 1614 days
7687.3
L860
77 years, male, stage:Stage IA, alive, 2056 days
7648.2
L715
69 years, female, stage:Stage IIIA, dead, 150 days
7548.6
L644
67 years, male, stage:Stage IA, dead, 282 days
7433.3
L604
67 years, male, stage:Stage IIA, dead, 286 days
7404.5
L447
67 years, male, stage:Stage IIB, alive, 3203 days
7257.4
L881
70 years, male, stage:Stage IB, alive, 1752 days
7087.2
L755
82 years, male, stage:Stage IIA, dead, 227 days
7070.8
L586
67 years, male, stage:Stage IIA, dead, 784 days
6767.2
L824
70 years, male, stage:Stage IA, dead, 665 days
6744.6
L488
61 years, female, stage:Stage IIA, alive, 2993 days
6637.1
L655
62 years, male, stage:Stage IIA, dead, 1603 days
6632.6
L483
65 years, male, stage:Stage IB, dead, 77 days
6564.1
L464
66 years, male, stage:Stage IB, dead, 1935 days
6507.5
L642
67 years, male, stage:Stage IB, dead, 1167 days
6486.0
L472
71 years, male, stage:Stage IB, dead, 423 days
6411.2
L406
64 years, male, stage:Stage IA, alive, 3057 days
6174.2
L685
71 years, female, stage:Stage IIB, alive, 1944 days
6137.3
L559
72 years, male, stage:Stage IIB, alive, 2615 days
6085.9
L652
82 years, male, stage:Stage IA, dead, 5 days
6000.6
L736
67 years, male, stage:Stage IA, dead, 1195 days
5923.8
L442
75 years, female, stage:Stage IB, dead, 2433 days
5915.3
L444
74 years, female, stage:Stage IIB, alive, 3337 days
5871.0
L854
62 years, female, stage:Stage IB, alive, 2256 days
5675.9
L767
67 years, male, stage:Stage IA, alive, 1718 days
5669.6
L633
77 years, female, stage:Stage IA, alive, 2102 days
5630.7
L886
71 years, male, stage:Stage IB, dead, 1932 days
5574.9
L456
48 years, male, stage:Stage IIA, dead, 1660 days
5566.9
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
5544.2
L563
61 years, female, stage:Stage IIB, dead, 1216 days
5461.4
L490
58 years, male, stage:Stage IA, dead, 716 days
5349.0
L864
66 years, female, stage:Stage IA, alive, 2192 days
5255.9
L470
78 years, female, stage:Stage IB, dead, 1774 days
5239.4
L788
54 years, female, stage:Stage IA, alive, 3385 days
5224.3
L760
80 years, male, stage:Stage IIA, alive, 1895 days
5088.0
L568
77 years, female, stage:Stage IIB, dead, 71 days
5084.1
L712
61 years, male, stage:Stage IA, alive, 1698 days
4934.2
L661
66 years, male, stage:Stage IA, dead, 1123 days
4844.0
L747
74 years, female, stage:Stage IA, dead, 1112 days
4766.3
L658
65 years, female, stage:Stage IIB, alive, 2083 days
4754.7
L856
69 years, male, stage:Stage IA, dead, 1465 days
4719.6
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
4701.8
L756
72 years, male, stage:Stage IB, alive, 1796 days
4379.3
L858
69 years, female, stage:Stage IIB, dead, 558 days
4343.9
L758
84 years, male, stage:Stage IA, dead, 1562 days
4329.3
L534
66 years, male, stage:Stage IIA, alive, 2693 days
4266.2
L529
79 years, female, stage:Stage IA, alive, 2775 days
4083.8
L608
73 years, male, stage:Stage IA, alive, 2350 days
4075.3
L719
63 years, male, stage:Stage IB, alive, 1615 days
3652.9
L884
71 years, male, stage:Stage IIA, alive, 1627 days
3647.4
L496
77 years, male, stage:Stage IB, alive, 2761 days
3614.6
L857
69 years, male, stage:Stage IB, dead, 226 days
3603.2
L572
58 years, male, stage:Stage IA, alive, 2532 days
2140.4
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0105270003
Tumor
0.9
CPT0083780003
Tumor
0.5
CPT0118810003
Tumor
0.5
CPT0106110003
Tumor
0.5
CPT0090860003
Tumor
0.5
CPT0011710004
Tumor
0.5
CPT0118620003
Tumor
0.5
CPT0118340003
Tumor
0.5
CPT0105060003
Tumor
0.5
CPT0105230003
Tumor
0.5
CPT0068800003
Tumor
0.4
CPT0098130003
Tumor
0.4
CPT0067940003
Tumor
0.4
CPT0067250003
Tumor
0.4
CPT0000920017
Tumor
0.4
CPT0092530003
Tumor
0.3
CPT0109740004
Tumor
0.3
CPT0148180004
Tumor
0.3
CPT0070060003
Tumor
0.3
CPT0008450003
Tumor
0.3
CPT0113210003
Tumor
0.3
CPT0090700003
Tumor
0.3
CPT0090170004
Tumor
0.2
CPT0052170004
Tumor
0.2
CPT0052940004
Tumor
0.2
CPT0091860003
Tumor
0.2
CPT0069360003
Tumor
0.2
CPT0001660013
Tumor
0.2
CPT0001960003
Tumor
0.2
CPT0067450003
Tumor
0.2
CPT0105710003
Tumor
0.1
CPT0014860003
Tumor
0.1
CPT0105630003
Tumor
0.1
CPT0021450003
Tumor
0.1
CPT0001380003
Tumor
0.1
CPT0104970003
Tumor
0.1
CPT0023310003
Tumor
0.1
CPT0117970003
Tumor
0.1
CPT0097580003
Tumor
0.1
CPT0014260003
Tumor
0.1
CPT0147380004
Tumor
0.1
CPT0063810003
Tumor
0.1
CPT0102450003
Tumor
0.1
CPT0001580009
Tumor
0.1
CPT0118570003
Tumor
0.1
CPT0051690004
Tumor
0.1
CPT0070080003
Normal
0.1
CPT0147080004
Tumor
0.1
CPT0090340003
Tumor
0.1
CPT0068610003
Tumor
0.1
CPT0067290003
Normal
0.1
CPT0114840003
Tumor
0.1
CPT0118200003
Tumor
0.1
CPT0084140003
Tumor
0.0
CPT0110980004
Tumor
0.0
CPT0090900004
Normal
0.0
CPT0086310003
Tumor
0.0
CPT0011750003
Normal
0.0
CPT0001800013
Tumor
0.0
CPT0112060003
Tumor
0.0
CPT0105600003
Tumor
0.0
CPT0105330003
Tumor
0.0
CPT0069700003
Tumor
0.0
CPT0113990003
Tumor
0.0
CPT0110860004
Tumor
0.0
CPT0105940003
Tumor
0.0
CPT0063730003
Tumor
0.0
CPT0001590003
Normal
0.0
CPT0067620003
Tumor
0.0
CPT0105370004
Normal
0.0
CPT0091260003
Normal
0.0
CPT0066810003
Normal
0.0
CPT0001070003
Normal
0.0
CPT0067070003
Tumor
0.0
CPT0105190003
Normal
0.0
CPT0015410003
Tumor
0.0
CPT0082740004
Tumor
0.0
CPT0118160003
Tumor
0.0
CPT0086750003
Tumor
0.0
CPT0090200003
Normal
0.0
CPT0090720003
Normal
0.0
CPT0066890003
Tumor
-0.1
CPT0105250003
Normal
-0.1
CPT0053040004
Tumor
-0.1
CPT0104630003
Tumor
-0.1
CPT0146980004
Tumor
-0.1
CPT0091240003
Tumor
-0.1
CPT0083810003
Normal
-0.1
CPT0105510003
Tumor
-0.1
CPT0092250003
Normal
-0.1
CPT0148280004
Tumor
-0.1
CPT0068100003
Tumor
-0.1
CPT0069520003
Tumor
-0.1
CPT0104750003
Tumor
-0.1
CPT0083140003
Normal
-0.1
CPT0001970003
Normal
-0.1
CPT0147980004
Tumor
-0.1
CPT0109760003
Normal
-0.1
CPT0146780004
Tumor
-0.1
CPT0013880003
Tumor
-0.1
CPT0067950003
Normal
-0.1
CPT0092930003
Tumor
-0.1
CPT0118360003
Normal
-0.1
CPT0105010004
Normal
-0.1
CPT0104760003
Normal
-0.1
CPT0092240003
Tumor
-0.1
CPT0011910004
Tumor
-0.1
CPT0114660004
Tumor
-0.1
CPT0147580004
Tumor
-0.1
CPT0105980003
Normal
-0.1
CPT0148000003
Normal
-0.1
CPT0086320003
Normal
-0.1
CPT0115070003
Tumor
-0.1
CPT0090570004
Tumor
-0.1
CPT0125810003
Tumor
-0.1
CPT0105550003
Normal
-0.1
CPT0091870003
Normal
-0.1
CPT0083100003
Tumor
-0.1
CPT0067770003
Normal
-0.1
CPT0082890003
Normal
-0.1
CPT0068830003
Normal
-0.1
CPT0105680003
Normal
-0.1
CPT0118240003
Normal
-0.1
CPT0097600003
Normal
-0.1
CPT0086770003
Normal
-0.2
CPT0063750003
Normal
-0.2
CPT0011930003
Normal
-0.2
CPT0118880003
Tumor
-0.2
CPT0102480003
Normal
-0.2
CPT0014930003
Normal
-0.2
CPT0113220003
Normal
-0.2
CPT0104650003
Normal
-0.2
CPT0069720003
Normal
-0.2
CPT0067110003
Normal
-0.2
CPT0105610003
Normal
-0.2
CPT0111590003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0079830003
Tumor
-0.2
CPT0112080003
Normal
-0.2
CPT0084170003
Normal
-0.2
CPT0109850003
Normal
-0.2
CPT0082770003
Normal
-0.2
CPT0089340003
Tumor
-0.2
CPT0110890003
Normal
-0.2
CPT0082850004
Tumor
-0.2
CPT0147500003
Normal
-0.2
CPT0067470004
Normal
-0.2
CPT0148200003
Normal
-0.2
CPT0014290003
Normal
-0.2
CPT0118010003
Normal
-0.2
CPT0105740003
Normal
-0.2
CPT0013630003
Normal
-0.2
CPT0015420003
Normal
-0.2
CPT0111300003
Tumor
-0.2
CPT0147400003
Normal
-0.2
CPT0013910003
Normal
-0.2
CPT0118890003
Normal
-0.2
CPT0090600003
Normal
-0.2
CPT0079850003
Normal
-0.2
CPT0146800003
Normal
-0.2
CPT0008420003
Normal
-0.2
CPT0013600003
Tumor
-0.2
CPT0090370003
Normal
-0.2
CPT0001690003
Normal
-0.2
CPT0021490003
Normal
-0.2
CPT0001810003
Normal
-0.2
CPT0068130003
Normal
-0.2
CPT0114690003
Normal
-0.2
CPT0147900003
Normal
-0.2
CPT0001390003
Normal
-0.2
CPT0147100003
Normal
-0.2
CPT0125830003
Normal
-0.2
CPT0109700003
Normal
-0.2
CPT0148300003
Normal
-0.2
CPT0106100003
Normal
-0.2
CPT0062810003
Normal
-0.2
CPT0066930003
Normal
-0.2
CPT0092940003
Normal
-0.2
CPT0083420003
Normal
-0.2
CPT0069550003
Normal
-0.2
CPT0023320003
Normal
-0.2
CPT0069370003
Normal
-0.2
CPT0118830003
Normal
-0.2
CPT0001060010
Tumor
-0.2
CPT0008410003
Tumor
-0.2
CPT0109710003
Normal
-0.3
CPT0115090003
Normal
-0.3
CPT0146700003
Normal
-0.3
CPT0118600003
Normal
-0.3
CPT0000930003
Normal
-0.3
CPT0147480004
Tumor
-0.3
CPT0063840003
Normal
-0.3
CPT0109680004
Tumor
-0.3
CPT0114880003
Normal
-0.3
CPT0083390004
Tumor
-0.3
CPT0089360003
Normal
-0.3
CPT0055100004
Tumor
-0.3
CPT0109720004
Tumor
-0.3
CPT0148100003
Normal
-0.3
CPT0147000003
Normal
-0.3
CPT0114010003
Normal
-0.3
CPT0147600003
Normal
-0.3
CPT0068650003
Normal
-0.3
CPT0146880004
Tumor
-0.3
CPT0111480003
Normal
-0.3
CPT0118180003
Normal
-0.3
CPT0146680004
Tumor
-0.3
CPT0066780003
Tumor
-0.3
CPT0109830004
Tumor
-0.3
CPT0146600003
Normal
-0.4
CPT0147880004
Tumor
-0.5
CPT0146580004
Tumor
N/A
CPT0148080004
Tumor
N/A
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LUNG SQUAMOUS CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
212
Samples
Sample ID
Sample type
nRPX
CPT0083980003
Tumor
1.0
CPT0204990003
Tumor
0.8
CPT0146380004
Tumor
0.8
CPT0208770003
Tumor
0.7
CPT0104360003
Tumor
0.7
CPT0112720003
Tumor
0.6
CPT0115830003
Tumor
0.5
CPT0202020008
Tumor
0.5
CPT0175410003
Normal
0.5
CPT0209490003
Tumor
0.4
CPT0175390003
Tumor
0.4
CPT0197090003
Tumor
0.4
CPT0063480003
Tumor
0.4
CPT0068280003
Tumor
0.4
CPT0197740003
Tumor
0.4
CPT0079050003
Tumor
0.4
CPT0205000003
Normal
0.4
CPT0238110004
Tumor
0.4
CPT0126670003
Tumor
0.4
CPT0237760003
Tumor
0.4
CPT0086260003
Tumor
0.4
CPT0117720003
Tumor
0.4
CPT0104930003
Tumor
0.4
CPT0091050003
Tumor
0.4
CPT0130030003
Tumor
0.4
CPT0126830003
Normal
0.4
CPT0197210003
Tumor
0.4
CPT0221200003
Tumor
0.3
CPT0234790003
Tumor
0.3
CPT0091820003
Tumor
0.3
CPT0245830003
Tumor
0.3
CPT0236420003
Tumor
0.3
CPT0234930004
Tumor
0.3
CPT0123370003
Normal
0.3
CPT0227400003
Tumor
0.3
CPT0175560003
Tumor
0.3
CPT0202530004
Tumor
0.3
CPT0023470003
Tumor
0.3
CPT0237060004
Tumor
0.2
CPT0237200004
Tumor
0.2
CPT0112730003
Normal
0.2
CPT0079100003
Tumor
0.2
CPT0010050003
Tumor
0.2
CPT0186130003
Tumor
0.2
CPT0126740003
Tumor
0.2
CPT0147680004
Tumor
0.2
CPT0183250004
Tumor
0.2
CPT0123350003
Tumor
0.2
CPT0175260003
Tumor
0.2
CPT0126810003
Tumor
0.2
CPT0190550003
Tumor
0.1
CPT0191860003
Tumor
0.1
CPT0202720003
Tumor
0.1
CPT0105420003
Tumor
0.1
CPT0237690004
Tumor
0.1
CPT0202350004
Tumor
0.1
CPT0218280003
Tumor
0.1
CPT0197150003
Tumor
0.1
CPT0108560003
Tumor
0.1
CPT0112540003
Tumor
0.1
CPT0245780003
Tumor
0.1
CPT0237780003
Normal
0.1
CPT0202170003
Tumor
0.1
CPT0146480004
Tumor
0.1
CPT0204600003
Tumor
0.1
CPT0007740003
Tumor
0.1
CPT0217420003
Tumor
0.1
CPT0223820003
Normal
0.1
CPT0063430003
Tumor
0.1
CPT0195510003
Tumor
0.1
CPT0204800003
Tumor
0.1
CPT0207210003
Tumor
0.1
CPT0136640003
Tumor
0.1
CPT0175120003
Tumor
0.1
CPT0126530003
Tumor
0.1
CPT0187370003
Tumor
0.1
CPT0089880003
Tumor
0.1
CPT0102790003
Tumor
0.1
CPT0126390003
Tumor
0.1
CPT0192540004
Tumor
0.1
CPT0232670003
Tumor
0.1
CPT0191710003
Tumor
0.0
CPT0112650003
Tumor
0.0
CPT0233120003
Tumor
0.0
CPT0175270003
Normal
0.0
CPT0064040003
Tumor
0.0
CPT0010060003
Normal
0.0
CPT0130270003
Tumor
0.0
CPT0237550004
Tumor
0.0
CPT0130440004
Normal
0.0
CPT0196810003
Tumor
0.0
CPT0245880003
Tumor
0.0
CPT0098770003
Tumor
0.0
CPT0069890003
Tumor
0.0
CPT0126450003
Tumor
0.0
CPT0091620003
Normal
0.0
CPT0098800003
Normal
0.0
CPT0186180003
Tumor
0.0
CPT0233320003
Tumor
0.0
CPT0227020003
Tumor
-0.1
CPT0197380003
Normal
-0.1
CPT0191930003
Normal
-0.1
CPT0090440003
Tumor
-0.1
CPT0112600003
Normal
-0.1
CPT0237410004
Tumor
-0.1
CPT0112580003
Tumor
-0.1
CPT0225380003
Tumor
-0.1
CPT0111150004
Tumor
-0.1
CPT0136660003
Normal
-0.1
CPT0087190003
Tumor
-0.1
CPT0130410003
Tumor
-0.1
CPT0223790003
Tumor
-0.1
CPT0219360003
Tumor
-0.1
CPT0023500003
Normal
-0.1
CPT0108600003
Normal
-0.1
CPT0209020004
Tumor
-0.1
CPT0192590004
Normal
-0.1
CPT0221220003
Normal
-0.1
CPT0234560003
Tumor
-0.1
CPT0237970004
Tumor
-0.1
CPT0111000004
Normal
-0.1
CPT0221650003
Tumor
-0.1
CPT0202740003
Normal
-0.1
CPT0068320003
Normal
-0.1
CPT0147700003
Normal
-0.1
CPT0197860003
Normal
-0.1
CPT0202040003
Normal
-0.1
CPT0146400003
Normal
-0.1
CPT0091610003
Tumor
-0.1
CPT0001020003
Tumor
-0.1
CPT0233330003
Normal
-0.1
CPT0128890003
Tumor
-0.1
CPT0233600003
Tumor
-0.1
CPT0197480003
Tumor
-0.1
CPT0186210003
Normal
-0.2
CPT0086270003
Normal
-0.2
CPT0202400004
Normal
-0.2
CPT0126470003
Normal
-0.2
CPT0241170003
Tumor
-0.2
CPT0204820003
Normal
-0.2
CPT0083990003
Normal
-0.2
CPT0104950003
Normal
-0.2
CPT0069900003
Normal
-0.2
CPT0202220004
Normal
-0.2
CPT0101130003
Tumor
-0.2
CPT0104380003
Normal
-0.2
CPT0195520003
Normal
-0.2
CPT0237210003
Normal
-0.2
CPT0234580003
Normal
-0.2
CPT0079110003
Normal
-0.2
CPT0237570003
Normal
-0.2
CPT0102840003
Normal
-0.2
CPT0245790003
Normal
-0.2
CPT0202580004
Normal
-0.2
CPT0087210003
Normal
-0.2
CPT0175160003
Normal
-0.2
CPT0105430003
Normal
-0.2
CPT0225470003
Normal
-0.2
CPT0117770003
Normal
-0.2
CPT0227420003
Normal
-0.2
CPT0115860003
Normal
-0.2
CPT0245890003
Normal
-0.2
CPT0222740003
Normal
-0.2
CPT0147180004
Tumor
-0.2
CPT0130070003
Normal
-0.3
CPT0130310003
Normal
-0.3
CPT0183270003
Normal
-0.3
CPT0208780003
Normal
-0.3
CPT0007760003
Normal
-0.3
CPT0241210003
Normal
-0.3
CPT0227070003
Normal
-0.3
CPT0197170003
Normal
-0.3
CPT0186140003
Normal
-0.3
CPT0187380003
Normal
-0.3
CPT0079060003
Normal
-0.3
CPT0209040003
Normal
-0.3
CPT0219390003
Normal
-0.3
CPT0237710003
Normal
-0.3
CPT0233160003
Normal
-0.3
CPT0112660003
Normal
-0.3
CPT0222730003
Tumor
-0.3
CPT0236430003
Normal
-0.3
CPT0218310003
Normal
-0.3
CPT0197520003
Normal
-0.3
CPT0146500003
Normal
-0.3
CPT0197100003
Normal
-0.3
CPT0112550003
Normal
-0.3
CPT0207250003
Normal
-0.3
CPT0234950004
Normal
-0.3
CPT0063440003
Normal
-0.3
CPT0221660003
Normal
-0.3
CPT0063500003
Normal
-0.3
CPT0234820003
Normal
-0.3
CPT0091090003
Normal
-0.3
CPT0217490003
Normal
-0.3
CPT0232690003
Normal
-0.3
CPT0126400003
Normal
-0.3
CPT0064050003
Normal
-0.3
CPT0245840003
Normal
-0.3
CPT0196820003
Normal
-0.3
CPT0238130003
Normal
-0.4
CPT0128900003
Normal
-0.4
CPT0209510003
Normal
-0.4
CPT0237430003
Normal
-0.4
CPT0237080003
Normal
-0.4
CPT0001030003
Normal
-0.4
CPT0147200003
Normal
-0.4
CPT0126760003
Normal
-0.4
CPT0204660003
Normal
-0.4
CPT0233640003
Normal
-0.4
CPT0237990003
Normal
-0.4
CPT0191750003
Normal
-0.5
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LUNG CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.