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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.
TPT1 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.
0.20
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.
38%
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.
44%
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
5039.4
Number of samples
497
Samples
Sample
Description
TPM
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
19856.4
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
16958.9
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
16848.4
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
15143.9
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
14871.2
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
14219.9
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
13467.7
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
13362.8
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
13140.2
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
13093.7
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
12182.8
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
12162.8
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
12118.7
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
11463.5
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
10953.7
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
10718.1
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
10453.4
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
10430.7
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
10395.9
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
10312.6
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
10208.1
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
10200.3
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
9897.3
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
9878.8
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
9863.6
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
9858.9
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
9786.9
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
9657.9
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
9557.7
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
9448.3
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
9391.5
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
9332.5
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
9287.7
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
9278.5
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
9253.6
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
9221.2
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
9191.5
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
9150.8
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
9030.4
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
8994.7
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
8957.1
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
8949.8
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
8931.9
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
8916.9
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
8814.9
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
8796.6
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
8777.1
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
8770.8
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
8758.1
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
8680.6
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
8652.5
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
8637.6
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
8386.3
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
8313.7
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
8246.3
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
8214.7
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
8212.0
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
8130.3
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
8090.4
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
8085.7
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
8060.0
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
7943.7
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
7837.2
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
7817.4
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
7789.4
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
7771.3
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
7722.3
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
7683.0
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
7674.0
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
7669.6
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
7666.8
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
7543.2
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
7531.1
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
7501.8
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
7478.5
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
7362.3
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
7299.5
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
7268.6
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
7260.4
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
7235.9
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
7185.4
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
7179.3
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
7176.1
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
7165.4
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
7077.1
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
7031.3
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
7004.0
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
6917.1
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
6916.3
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
6906.6
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
6899.2
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
6853.4
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
6810.0
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
6795.5
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
6778.5
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
6750.7
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
6674.8
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
6635.0
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
6614.9
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
6575.4
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
6513.1
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
6500.6
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
6457.4
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
6451.9
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
6447.7
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
6434.1
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
6395.9
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
6395.4
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
6341.9
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
6306.9
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
6297.4
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
6295.0
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
6262.2
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
6213.4
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
6213.2
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
6212.0
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
6189.5
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
6151.7
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
6149.6
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
6148.7
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
6126.6
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
6118.2
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
6088.7
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
6054.9
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
6047.4
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
6039.6
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
6020.8
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
5983.5
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
5925.4
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
5920.5
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
5917.5
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
5870.7
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
5827.7
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
5795.4
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
5784.4
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
5781.9
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
5775.6
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
5734.9
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
5730.3
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
5698.8
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
5672.4
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
5652.6
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
5621.8
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
5576.3
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
5566.9
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
5557.4
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
5526.7
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
5494.0
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
5489.6
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
5479.7
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
5470.5
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
5441.0
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
5426.1
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
5415.1
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
5413.4
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
5408.5
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
5404.6
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
5399.2
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
5397.5
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
5366.8
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
5346.6
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
5333.1
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
5311.1
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
5309.9
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
5299.3
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
5297.3
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
5290.4
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
5257.6
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
5231.9
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
5217.2
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
5210.9
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
5205.9
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
5205.5
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
5192.8
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
5190.8
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
5182.4
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
5166.5
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
5161.0
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
5158.5
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
5152.4
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
5145.9
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
5120.7
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
5102.6
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
5096.4
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
5082.7
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
5076.6
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
5068.5
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
5047.1
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
5038.6
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
5037.7
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
5019.2
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
5004.0
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
4996.6
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
4987.0
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
4984.5
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
4970.8
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
4967.8
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
4950.8
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
4934.1
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
4932.5
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
4932.3
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
4892.5
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
4889.1
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
4880.2
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
4877.5
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
4860.1
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
4838.1
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
4831.6
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
4812.1
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
4803.7
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
4797.1
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
4797.0
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
4768.0
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
4742.9
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
4725.5
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
4710.8
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
4709.3
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
4699.8
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
4696.0
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
4695.0
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
4689.7
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
4684.5
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
4673.7
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
4658.2
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
4639.9
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
4629.6
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
4621.1
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
4618.6
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
4616.0
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
4574.4
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
4572.7
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
4567.0
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
4563.0
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
4561.6
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
4559.5
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
4550.7
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
4546.6
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
4543.7
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
4540.8
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
4532.6
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
4511.6
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
4505.0
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
4503.4
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
4499.0
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
4496.1
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
4487.0
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
4470.3
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
4454.3
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
4450.3
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
4444.7
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
4440.3
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
4430.6
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
4425.3
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
4415.5
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
4411.2
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
4399.7
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
4393.9
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
4388.4
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
4374.9
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
4357.7
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
4343.4
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
4341.2
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
4332.8
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
4331.0
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
4330.9
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
4330.7
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
4304.7
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
4299.6
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
4297.6
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
4264.4
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
4262.5
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
4244.5
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
4243.4
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
4232.1
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
4217.7
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
4215.7
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
4201.7
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
4199.6
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
4187.1
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
4182.8
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
4173.6
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
4164.7
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
4154.1
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
4152.0
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
4151.4
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
4148.7
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
4146.1
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
4145.9
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
4142.2
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
4132.9
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
4118.9
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
4106.6
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
4105.2
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
4098.8
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
4098.2
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
4092.0
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
4051.3
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
4030.8
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
4017.5
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
4012.7
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
3993.9
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
3987.2
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
3976.1
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
3974.6
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
3969.7
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
3968.2
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
3967.4
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
3958.0
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
3944.3
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
3939.7
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
3924.0
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
3919.2
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
3918.0
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
3915.3
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
3901.2
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
3897.2
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
3891.6
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
3861.0
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
3855.3
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
3854.6
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
3834.2
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
3834.1
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
3810.1
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
3806.9
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
3795.7
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
3783.5
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
3766.5
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
3754.5
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
3749.0
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
3729.9
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
3709.3
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
3698.2
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
3694.0
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
3685.7
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
3668.1
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
3655.3
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
3652.6
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
3631.7
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
3621.3
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
3617.2
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
3613.4
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
3596.1
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
3594.8
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
3581.8
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
3564.2
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
3555.7
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
3540.4
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
3535.2
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
3534.4
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
3531.1
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
3529.9
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
3521.5
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
3472.8
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
3470.7
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
3455.6
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
3454.3
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
3445.5
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
3433.2
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
3420.4
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
3382.7
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
3379.2
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
3378.0
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
3376.6
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
3366.9
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
3363.7
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
3349.4
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
3332.9
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
3331.9
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
3330.6
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
3317.0
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
3304.8
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
3269.2
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
3268.0
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
3266.8
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
3256.9
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
3254.7
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
3249.2
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
3247.5
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
3235.2
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
3223.4
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
3215.5
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
3214.5
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
3200.4
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
3173.1
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
3161.0
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
3158.6
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
3158.6
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
3153.5
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
3147.5
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
3131.6
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
3119.2
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
3110.8
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
3089.4
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
3089.4
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
3084.5
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
3080.7
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
3060.3
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
3052.4
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
3049.5
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
3035.5
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
3034.2
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
3022.8
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
3022.1
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
3011.7
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
2974.6
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
2955.8
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
2953.8
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
2938.4
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
2927.4
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
2923.8
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
2898.1
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
2894.1
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
2890.7
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
2890.5
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
2889.5
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
2889.0
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
2874.3
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
2862.3
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
2818.1
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
2812.6
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
2775.9
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
2775.8
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
2774.3
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
2771.3
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
2724.6
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
2717.2
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
2713.5
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
2711.7
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
2711.3
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
2709.5
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
2681.4
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
2679.8
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
2668.6
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
2652.6
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
2646.9
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
2641.9
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
2626.7
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
2592.2
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
2566.0
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
2555.0
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
2548.8
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
2546.8
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
2541.9
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
2494.5
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
2493.5
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
2481.4
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
2473.3
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
2470.8
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
2454.5
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
2448.7
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
2426.5
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
2417.7
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
2401.3
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
2392.6
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
2365.6
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
2363.7
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
2352.5
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
2343.0
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
2314.9
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
2307.1
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
2298.0
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
2289.0
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
2259.7
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
2258.9
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
2248.3
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
2210.9
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
2195.8
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
2186.6
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
2177.1
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
2172.3
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
2170.5
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
2126.6
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
2104.1
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
2088.6
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
2084.4
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
2083.0
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
2081.0
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
2058.1
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
2051.8
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
2037.9
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
2017.3
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
2003.1
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
1977.3
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
1975.9
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
1925.9
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
1914.3
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
1904.6
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
1885.1
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
1839.2
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
1832.8
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
1817.2
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
1769.1
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
1754.8
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
1649.9
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
1634.3
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
1548.0
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 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.
TPT1 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.
0.16
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.
43%
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.
55%
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
4477.0
Number of samples
105
Samples
Sample
Description
TPM
L773
64 years, female, stage:Stage IV, dead, 311 days
11098.6
L791
66 years, female, stage:Stage IIIA, dead, 368 days
9688.1
L602
69 years, female, stage:Stage IA, alive, 2277 days
9583.2
L851
70 years, male, stage:Stage IB, dead, 1315 days
9247.9
L850
77 years, male, stage:Stage IIIA, dead, 997 days
9144.5
L842
62 years, female, stage:Stage IB, alive, 2005 days
8929.9
L473
66 years, female, stage:Stage IA, alive, 3021 days
8725.8
L867
62 years, female, stage:Stage IIIA, dead, 317 days
7294.3
L731
59 years, female, stage:Stage IA, dead, 964 days
7015.5
L683
77 years, female, stage:Stage IIA, dead, 612 days
6744.6
L662
66 years, male, stage:Stage IA, dead, 865 days
6535.1
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
6345.7
L782
73 years, female, stage:Stage IIB, alive, 3371 days
6254.6
L673
74 years, female, stage:Stage IA, dead, 568 days
6189.1
L816
73 years, female, stage:Stage IIA, dead, 353 days
6055.0
L605
74 years, female, stage:Stage IA, alive, 2460 days
5842.0
L439
80 years, male, stage:Stage IIB, dead, 2773 days
5777.3
L561
62 years, female, stage:Stage IA, alive, 2543 days
5749.3
L865
75 years, female, stage:Stage IIB, alive, 1927 days
5701.5
L827
70 years, male, stage:Stage IIB, dead, 1105 days
5635.6
L877
70 years, female, stage:Stage IA, alive, 1599 days
5572.4
L688
57 years, male, stage:Stage IIIA, dead, 789 days
5554.4
L682
64 years, female, stage:Stage IIB, dead, 840 days
5442.6
L656
58 years, male, stage:Stage IA, alive, 2227 days
5358.0
L871
74 years, male, stage:Stage IB, dead, 873 days
5285.3
L875
69 years, female, stage:Stage IA, alive, 1675 days
5202.9
L413
72 years, female, stage:Stage IIIA, dead, 313 days
5131.8
L404
74 years, female, stage:Stage IIA, dead, 2318 days
5092.5
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
4978.2
L620
70 years, female, stage:Stage IIIA, dead, 338 days
4888.2
L601
75 years, male, stage:Stage IB, dead, 2068 days
4877.1
L565
59 years, female, stage:Stage IB, dead, 543 days
4848.2
L829
76 years, male, stage:Stage IA, alive, 2173 days
4807.8
L462
67 years, male, stage:Stage IIIA, dead, 568 days
4720.4
L400
78 years, male, stage:Stage IIA, dead, 1233 days
4618.5
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
4569.4
L603
70 years, female, stage:Stage IB, dead, 972 days
4463.2
L689
69 years, male, stage:Stage IA, alive, 1943 days
4460.0
L616
54 years, male, stage:Stage IA, dead, 410 days
4451.6
L557
81 years, female, stage:Stage IB, alive, 2580 days
4443.8
L532
69 years, female, stage:Stage IA, dead, 301 days
4415.2
L551
62 years, male, stage:Stage IA, alive, 2924 days
4386.7
L872
71 years, female, stage:Stage IA, alive, 1793 days
4380.2
L585
70 years, female, stage:Stage IIA, dead, 402 days
4376.9
L638
65 years, male, stage:Stage IA, alive, 2076 days
4373.3
L617
68 years, male, stage:Stage IIIA, dead, 238 days
4355.8
L828
68 years, female, stage:Stage IIB, alive, 2222 days
4294.5
L695
68 years, female, stage:Stage IB, dead, 1762 days
4287.2
L778
65 years, female, stage:Stage IA, alive, 1600 days
4281.5
L546
57 years, male, stage:Stage IA, dead, 973 days
4257.0
L826
45 years, female, stage:Stage IV, dead, 935 days
4239.3
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
4224.3
L885
62 years, female, stage:Stage IA, alive, 1618 days
4223.8
L766
59 years, male, stage:Stage IB, alive, 1793 days
4191.3
L738
74 years, female, stage:Stage IB, dead, 1314 days
4069.2
L746
64 years, female, stage:Stage IIIA, dead, 594 days
4056.3
L493
56 years, female, stage:Stage IIB, alive, 2945 days
4014.8
L887
77 years, male, stage:Stage IA, dead, 374 days
3991.8
L890
56 years, female, stage:Stage IIB, dead, 1264 days
3980.1
L630
65 years, female, stage:Stage IA, dead, 1733 days
3965.5
L832
65 years, female, stage:Stage IA, alive, 2145 days
3949.4
L569
76 years, female, stage:Stage IA, alive, 2531 days
3888.7
L545
60 years, female, stage:Stage IA, alive, 2874 days
3854.3
L873
62 years, female, stage:Stage IA, alive, 1740 days
3774.0
L808
48 years, female, stage:Stage IA, alive, 3001 days
3756.1
L566
58 years, male, stage:Stage IB, alive, 2489 days
3740.2
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
3714.4
L530
76 years, female, stage:Stage IIA, dead, 308 days
3673.5
L663
62 years, female, stage:Stage IB, alive, 2018 days
3633.4
L810
64 years, female, stage:Stage IIIA, dead, 625 days
3618.7
L678
65 years, female, stage:Stage IB, dead, 1114 days
3586.4
L703
71 years, male, stage:Stage IIA, dead, 1137 days
3565.2
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
3554.7
L710
72 years, female, stage:Stage IIA, alive, 1775 days
3532.6
L440
80 years, male, stage:Stage IIB, dead, 651 days
3510.5
L800
66 years, female, stage:Stage IA, dead, 2417 days
3509.7
L879
75 years, male, stage:Stage IV, dead, 873 days
3421.2
L458
76 years, female, stage:Stage IA, dead, 223 days
3372.1
L543
65 years, male, stage:Stage IA, alive, 2711 days
3242.2
L613
72 years, male, stage:Stage IIIA, dead, 19 days
3230.9
L593
78 years, male, stage:Stage IA, dead, 2436 days
3193.8
L838
71 years, female, stage:Stage IA, dead, 1005 days
3175.3
L735
75 years, female, stage:Stage IA, alive, 1830 days
3071.4
L606
55 years, male, stage:Stage IA, alive, 2336 days
3061.2
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
3055.1
L802
62 years, female, stage:Stage IA, dead, 773 days
2999.5
L749
49 years, female, stage:Stage IIIA, dead, 189 days
2979.0
L531
74 years, male, stage:Stage IB, dead, 928 days
2934.6
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
2932.9
L504
65 years, female, stage:Stage IA, dead, 1295 days
2925.9
L599
80 years, male, stage:Stage IB, dead, 2083 days
2856.9
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
2856.2
L607
59 years, male, stage:Stage IB, alive, 2572 days
2835.4
L455
52 years, female, stage:Stage IA, alive, 3315 days
2824.7
L880
75 years, female, stage:Stage IA, alive, 1767 days
2814.3
L541
70 years, female, stage:Stage IIIA, dead, 915 days
2748.5
L484
64 years, female, stage:Stage IA, alive, 2895 days
2625.9
L768
60 years, male, stage:Stage IIIA, dead, 472 days
2449.2
L446
71 years, female, stage:Stage IIB, dead, 415 days
2445.6
L626
76 years, female, stage:Stage IA, dead, 1994 days
2415.9
L728
77 years, male, stage:Stage IIB, dead, 1128 days
2225.5
L725
64 years, female, stage:Stage IA, alive, 1830 days
2213.8
L596
74 years, female, stage:Stage IA, alive, 2319 days
2007.6
L831
62 years, female, stage:Stage IB, alive, 2152 days
1950.0
L814
73 years, male, stage:Stage IIIA, alive, 2466 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.
TPT1 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.
0.26
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.
55%
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
3682.3
Number of samples
489
Samples
Sample
Description
TPM
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
17728.4
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
13243.0
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
12667.8
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
10642.6
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
10530.2
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
9933.2
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
9450.2
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
8922.0
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
8819.5
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
8722.4
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
8430.8
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
8380.5
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
8075.3
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
7973.9
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
7927.6
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
7823.8
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
7797.2
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
7757.7
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
7456.3
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
7109.0
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
7107.6
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
6995.0
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
6989.4
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
6928.4
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
6911.9
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
6821.0
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
6762.9
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
6755.5
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
6690.8
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
6521.5
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
6515.1
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
6498.6
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
6429.5
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
6407.0
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
6357.7
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
6345.6
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
6317.8
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
6309.2
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
6255.0
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
6244.8
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
6189.1
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
6158.1
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
6134.9
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
6104.0
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
6064.9
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
6060.7
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
6007.7
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
5950.1
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
5946.6
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
5894.5
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
5874.6
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
5754.8
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
5743.9
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
5647.1
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
5588.6
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
5575.8
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
5510.6
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
5509.6
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
5449.8
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
5439.9
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
5432.9
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
5424.8
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
5411.0
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
5397.7
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
5351.2
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
5350.6
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
5269.7
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
5253.4
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
5248.4
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
5238.5
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
5153.5
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
5130.7
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
5100.2
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
5090.5
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
5044.4
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
4986.2
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
4939.3
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
4921.7
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
4896.0
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
4892.4
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
4873.4
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
4851.8
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
4838.5
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
4833.6
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
4796.6
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
4795.3
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
4733.3
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
4721.4
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
4704.3
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
4696.3
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
4686.0
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
4682.6
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
4669.9
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
4655.1
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
4632.1
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
4615.4
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
4595.0
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
4587.1
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
4580.2
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
4573.4
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
4563.5
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
4539.7
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
4510.4
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
4488.3
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
4480.7
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
4480.5
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
4475.6
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
4456.4
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
4423.3
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
4420.0
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
4417.6
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
4415.6
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
4414.1
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
4407.6
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
4402.1
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
4379.1
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
4371.9
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
4365.5
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
4356.0
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
4340.2
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
4335.6
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
4334.3
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
4327.7
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
4327.6
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
4306.3
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
4299.4
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
4281.9
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
4265.4
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
4246.7
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
4239.9
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
4236.8
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
4199.8
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
4195.9
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
4191.9
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
4181.7
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
4166.3
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
4153.9
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
4146.3
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
4138.8
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
4129.6
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
4120.9
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
4106.6
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
4090.7
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
4082.9
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
4082.3
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
4077.2
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
4067.9
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
4062.1
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
4053.2
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
4051.1
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
4050.5
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
4034.3
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
4007.5
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
3996.6
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
3993.9
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
3988.4
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
3979.0
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
3972.7
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
3970.1
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
3963.1
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
3961.1
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
3906.7
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
3897.7
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
3890.1
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
3883.4
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
3875.6
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
3863.9
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
3861.3
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
3857.1
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
3853.4
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
3853.2
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
3851.6
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
3845.5
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
3841.4
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
3835.0
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
3833.5
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
3816.2
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
3807.8
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
3797.9
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
3791.5
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
3789.4
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
3760.0
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
3751.8
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
3744.4
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
3740.7
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
3739.9
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
3737.6
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
3732.2
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
3712.3
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
3702.6
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
3693.6
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
3673.6
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
3662.6
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
3645.7
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
3636.8
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
3635.4
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
3628.9
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
3624.5
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
3616.9
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
3615.8
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
3614.7
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
3610.7
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
3585.7
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
3585.6
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
3581.5
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
3579.5
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
3566.3
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
3558.7
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
3554.9
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
3548.3
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
3540.5
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
3516.6
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
3516.0
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
3515.4
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
3500.5
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
3497.3
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
3496.7
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
3472.1
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
3463.3
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
3443.0
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
3442.9
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
3406.1
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
3392.4
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
3388.6
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
3386.0
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
3384.0
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
3375.2
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
3374.2
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
3368.2
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
3365.4
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
3352.6
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
3347.0
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
3322.2
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
3320.8
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
3319.6
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
3314.9
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
3308.2
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
3290.6
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
3280.1
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
3272.9
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
3239.5
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
3238.9
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
3238.0
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
3237.9
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
3236.7
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
3220.7
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
3207.8
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
3199.0
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
3180.1
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
3172.7
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
3168.7
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
3159.0
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
3156.6
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
3152.9
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
3152.5
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
3143.4
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
3143.1
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
3142.9
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
3134.7
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
3134.4
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
3130.1
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
3129.3
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
3121.9
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
3112.7
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
3101.2
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
3096.3
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
3080.6
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
3075.5
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
3071.9
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
3071.1
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
3065.9
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
3033.8
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
3028.2
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
3026.4
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
3012.7
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
3010.6
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
2993.5
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
2971.5
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
2970.6
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
2967.5
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
2965.7
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
2956.8
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
2943.4
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
2940.6
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
2932.7
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
2927.7
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
2922.0
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
2920.3
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
2919.2
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
2902.3
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
2901.0
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
2900.9
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
2900.5
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
2892.9
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
2892.6
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
2889.6
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
2886.5
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
2883.9
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
2871.3
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
2869.7
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
2865.1
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
2864.4
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
2863.6
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
2863.5
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
2853.6
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
2848.2
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
2839.1
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
2838.3
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
2823.2
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
2821.5
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
2820.6
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
2820.0
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
2816.3
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
2810.6
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
2799.8
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
2797.5
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
2797.0
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
2795.7
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
2790.2
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
2788.0
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
2787.0
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
2785.5
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
2782.2
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
2778.9
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
2769.5
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
2757.2
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
2752.8
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
2749.8
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
2730.2
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
2726.5
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
2725.0
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
2722.4
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
2720.1
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
2719.6
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
2719.2
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
2716.8
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
2715.6
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
2715.0
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
2709.3
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
2704.8
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
2688.9
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
2688.0
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
2685.8
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
2682.6
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
2669.3
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
2664.2
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
2663.9
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
2654.3
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
2633.6
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
2622.0
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
2619.7
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
2617.3
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
2617.3
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
2610.0
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
2601.5
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
2600.4
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
2594.9
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
2592.6
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
2592.3
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
2584.7
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
2580.3
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
2570.4
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
2566.2
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
2562.2
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
2559.2
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
2553.9
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
2550.8
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
2550.4
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
2541.8
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
2537.4
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
2533.5
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
2524.0
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
2503.9
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
2498.8
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
2497.8
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
2494.6
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
2481.6
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
2478.9
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
2477.2
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
2465.4
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
2455.6
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
2451.3
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
2444.7
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
2436.4
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
2431.2
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
2425.7
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
2423.1
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
2422.1
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
2421.5
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
2421.5
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
2412.6
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
2400.4
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
2400.0
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
2396.2
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
2395.9
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
2392.7
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
2386.8
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
2386.3
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
2384.6
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
2383.8
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
2361.1
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
2341.7
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
2341.0
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
2340.4
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
2339.9
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
2338.5
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
2337.7
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
2323.8
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
2317.4
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
2316.9
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
2303.8
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
2296.8
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
2288.4
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
2288.3
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
2274.6
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
2268.5
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
2258.8
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
2257.4
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
2231.7
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
2223.7
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
2217.0
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
2205.4
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
2202.4
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
2202.1
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
2192.3
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
2185.4
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
2179.9
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
2173.0
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
2165.6
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
2160.9
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
2149.5
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
2127.8
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
2125.5
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
2112.7
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
2104.2
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
2102.2
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
2073.1
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
2072.4
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
2071.4
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
2069.2
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
2067.7
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
2064.3
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
2062.9
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
2058.2
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
2056.7
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
2054.4
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
2053.7
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
2015.6
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
2008.3
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
1993.6
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
1993.1
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
1969.4
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
1951.0
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
1949.1
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
1944.0
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
1938.5
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
1916.1
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
1904.5
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
1883.4
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
1881.1
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
1851.9
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
1851.6
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
1842.6
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
1831.3
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
1819.9
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
1816.0
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
1814.8
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
1800.5
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
1787.3
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
1752.4
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
1750.1
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
1747.3
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
1744.0
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
1702.6
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
1689.0
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
1677.0
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
1672.7
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
1612.8
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
1605.2
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
1581.2
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
1542.6
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
1518.5
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
1513.3
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
1508.2
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
1491.7
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
1397.1
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
1318.7
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
1239.0
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 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.
TPT1 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.
0.0063
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.
43%
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.
62%
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
3168.1
Number of samples
68
Samples
Sample
Description
TPM
L650
69 years, female, stage:Stage IB, dead, 986 days
5961.6
L468
53 years, male, stage:Stage IB, alive, 3004 days
5328.0
L447
67 years, male, stage:Stage IIB, alive, 3203 days
5139.8
L736
67 years, male, stage:Stage IA, dead, 1195 days
5100.1
L852
64 years, male, stage:Stage IB, dead, 700 days
4768.9
L483
65 years, male, stage:Stage IB, dead, 77 days
4328.8
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
4306.2
L723
67 years, male, stage:Stage IIA, dead, 433 days
4243.1
L472
71 years, male, stage:Stage IB, dead, 423 days
4112.4
L459
75 years, male, stage:Stage IIA, alive, 3181 days
4018.9
L539
78 years, male, stage:Stage IB, dead, 370 days
3802.6
L857
69 years, male, stage:Stage IB, dead, 226 days
3760.4
L420
57 years, female, stage:Stage IIB, dead, 295 days
3705.5
L563
61 years, female, stage:Stage IIB, dead, 1216 days
3690.8
L592
61 years, male, stage:Stage IB, alive, 2368 days
3677.9
L608
73 years, male, stage:Stage IA, alive, 2350 days
3626.5
L633
77 years, female, stage:Stage IA, alive, 2102 days
3611.6
L464
66 years, male, stage:Stage IB, dead, 1935 days
3558.9
L442
75 years, female, stage:Stage IB, dead, 2433 days
3553.3
L864
66 years, female, stage:Stage IA, alive, 2192 days
3540.2
L854
62 years, female, stage:Stage IB, alive, 2256 days
3457.5
L715
69 years, female, stage:Stage IIIA, dead, 150 days
3451.2
L886
71 years, male, stage:Stage IB, dead, 1932 days
3445.8
L881
70 years, male, stage:Stage IB, alive, 1752 days
3371.1
L644
67 years, male, stage:Stage IA, dead, 282 days
3346.7
L652
82 years, male, stage:Stage IA, dead, 5 days
3329.3
L568
77 years, female, stage:Stage IIB, dead, 71 days
3285.2
L824
70 years, male, stage:Stage IA, dead, 665 days
3260.8
L604
67 years, male, stage:Stage IIA, dead, 286 days
3250.7
L856
69 years, male, stage:Stage IA, dead, 1465 days
3172.5
L534
66 years, male, stage:Stage IIA, alive, 2693 days
3138.3
L444
74 years, female, stage:Stage IIB, alive, 3337 days
3124.5
L559
72 years, male, stage:Stage IIB, alive, 2615 days
3086.7
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
3028.1
L466
65 years, female, stage:Stage IIIA, dead, 412 days
3025.1
L760
80 years, male, stage:Stage IIA, alive, 1895 days
2988.9
L488
61 years, female, stage:Stage IIA, alive, 2993 days
2944.2
L820
73 years, female, stage:Stage IA, alive, 2405 days
2921.3
L767
67 years, male, stage:Stage IA, alive, 1718 days
2887.8
L753
61 years, male, stage:Stage IIA, alive, 1705 days
2882.1
L712
61 years, male, stage:Stage IA, alive, 1698 days
2864.7
L406
64 years, male, stage:Stage IA, alive, 3057 days
2859.7
L739
49 years, female, stage:Stage IIIA, dead, 352 days
2843.4
L758
84 years, male, stage:Stage IA, dead, 1562 days
2830.6
L755
82 years, male, stage:Stage IIA, dead, 227 days
2821.8
L655
62 years, male, stage:Stage IIA, dead, 1603 days
2780.9
L744
75 years, male, stage:Stage IA, alive, 1614 days
2761.9
L470
78 years, female, stage:Stage IB, dead, 1774 days
2738.2
L456
48 years, male, stage:Stage IIA, dead, 1660 days
2683.6
L685
71 years, female, stage:Stage IIB, alive, 1944 days
2656.2
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
2652.2
L490
58 years, male, stage:Stage IA, dead, 716 days
2622.8
L788
54 years, female, stage:Stage IA, alive, 3385 days
2618.4
L642
67 years, male, stage:Stage IB, dead, 1167 days
2594.3
L818
67 years, male, stage:Stage IB, alive, 2480 days
2576.4
L661
66 years, male, stage:Stage IA, dead, 1123 days
2556.2
L529
79 years, female, stage:Stage IA, alive, 2775 days
2506.2
L860
77 years, male, stage:Stage IA, alive, 2056 days
2279.7
L719
63 years, male, stage:Stage IB, alive, 1615 days
2248.3
L496
77 years, male, stage:Stage IB, alive, 2761 days
2242.2
L586
67 years, male, stage:Stage IIA, dead, 784 days
2119.8
L457
46 years, female, stage:Stage IIA, alive, 2901 days
2115.8
L658
65 years, female, stage:Stage IIB, alive, 2083 days
1998.3
L858
69 years, female, stage:Stage IIB, dead, 558 days
1998.3
L884
71 years, male, stage:Stage IIA, alive, 1627 days
1987.8
L747
74 years, female, stage:Stage IA, dead, 1112 days
1848.9
L572
58 years, male, stage:Stage IA, alive, 2532 days
1825.3
L756
72 years, male, stage:Stage IB, alive, 1796 days
1570.7
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0011710004
Tumor
0.9
CPT0105270003
Tumor
0.8
CPT0084140003
Tumor
0.6
CPT0090170004
Tumor
0.5
CPT0118620003
Tumor
0.5
CPT0090700003
Tumor
0.5
CPT0147080004
Tumor
0.5
CPT0109740004
Tumor
0.5
CPT0063810003
Tumor
0.5
CPT0113210003
Tumor
0.5
CPT0083780003
Tumor
0.4
CPT0001660013
Tumor
0.4
CPT0147380004
Tumor
0.4
CPT0091860003
Tumor
0.4
CPT0070060003
Tumor
0.4
CPT0052170004
Tumor
0.4
CPT0067070003
Tumor
0.4
CPT0115070003
Tumor
0.4
CPT0113990003
Tumor
0.4
CPT0091240003
Tumor
0.4
CPT0021450003
Tumor
0.4
CPT0067940003
Tumor
0.3
CPT0052940004
Tumor
0.3
CPT0118570003
Tumor
0.3
CPT0092240003
Tumor
0.3
CPT0014860003
Tumor
0.3
CPT0067250003
Tumor
0.3
CPT0008450003
Tumor
0.3
CPT0000920017
Tumor
0.3
CPT0098130003
Tumor
0.3
CPT0148280004
Tumor
0.3
CPT0051690004
Tumor
0.3
CPT0086750003
Tumor
0.3
CPT0146980004
Tumor
0.3
CPT0105230003
Tumor
0.3
CPT0069360003
Tumor
0.3
CPT0105060003
Tumor
0.3
CPT0082850004
Tumor
0.3
CPT0148180004
Tumor
0.3
CPT0001380003
Tumor
0.3
CPT0114840003
Tumor
0.3
CPT0023310003
Tumor
0.3
CPT0090340003
Tumor
0.3
CPT0092530003
Tumor
0.2
CPT0097580003
Tumor
0.2
CPT0118160003
Tumor
0.2
CPT0104970003
Tumor
0.2
CPT0110980004
Tumor
0.2
CPT0106110003
Tumor
0.2
CPT0118200003
Tumor
0.2
CPT0117970003
Tumor
0.2
CPT0015410003
Tumor
0.2
CPT0001960003
Tumor
0.2
CPT0112060003
Tumor
0.2
CPT0011930003
Normal
0.2
CPT0105630003
Tumor
0.2
CPT0102450003
Tumor
0.2
CPT0086310003
Tumor
0.2
CPT0105940003
Tumor
0.2
CPT0105710003
Tumor
0.1
CPT0068100003
Tumor
0.1
CPT0082740004
Tumor
0.1
CPT0067450003
Tumor
0.1
CPT0146780004
Tumor
0.1
CPT0001580009
Tumor
0.1
CPT0066890003
Tumor
0.1
CPT0001800013
Tumor
0.1
CPT0001060010
Tumor
0.1
CPT0013880003
Tumor
0.1
CPT0079830003
Tumor
0.1
CPT0055100004
Tumor
0.1
CPT0001070003
Normal
0.1
CPT0105330003
Tumor
0.1
CPT0114010003
Normal
0.1
CPT0104750003
Tumor
0.1
CPT0104630003
Tumor
0.1
CPT0125810003
Tumor
0.0
CPT0068610003
Tumor
0.0
CPT0147980004
Tumor
0.0
CPT0067620003
Tumor
0.0
CPT0067290003
Normal
0.0
CPT0147480004
Tumor
0.0
CPT0086320003
Normal
0.0
CPT0109680004
Tumor
0.0
CPT0084170003
Normal
0.0
CPT0114660004
Tumor
0.0
CPT0011750003
Normal
0.0
CPT0118880003
Tumor
0.0
CPT0089340003
Tumor
0.0
CPT0014930003
Normal
0.0
CPT0008410003
Tumor
0.0
CPT0091260003
Normal
0.0
CPT0118600003
Normal
0.0
CPT0147880004
Tumor
0.0
CPT0105370004
Normal
0.0
CPT0097600003
Normal
0.0
CPT0070080003
Normal
0.0
CPT0014290003
Normal
0.0
CPT0090570004
Tumor
0.0
CPT0105600003
Tumor
0.0
CPT0113220003
Normal
0.0
CPT0053040004
Tumor
0.0
CPT0090720003
Normal
-0.1
CPT0105680003
Normal
-0.1
CPT0062810003
Normal
-0.1
CPT0067950003
Normal
-0.1
CPT0014260003
Tumor
-0.1
CPT0090860003
Tumor
-0.1
CPT0082890003
Normal
-0.1
CPT0105510003
Tumor
-0.1
CPT0104650003
Normal
-0.1
CPT0092930003
Tumor
-0.1
CPT0001590003
Normal
-0.1
CPT0110890003
Normal
-0.1
CPT0066810003
Normal
-0.1
CPT0118340003
Tumor
-0.1
CPT0021490003
Normal
-0.1
CPT0148000003
Normal
-0.1
CPT0001810003
Normal
-0.1
CPT0112080003
Normal
-0.1
CPT0118810003
Tumor
-0.1
CPT0105740003
Normal
-0.1
CPT0063840003
Normal
-0.1
CPT0069720003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0109850003
Normal
-0.1
CPT0105190003
Normal
-0.1
CPT0001390003
Normal
-0.1
CPT0013630003
Normal
-0.1
CPT0147500003
Normal
-0.1
CPT0090200003
Normal
-0.1
CPT0105980003
Normal
-0.1
CPT0013910003
Normal
-0.1
CPT0105250003
Normal
-0.1
CPT0083810003
Normal
-0.1
CPT0091870003
Normal
-0.1
CPT0001970003
Normal
-0.1
CPT0092250003
Normal
-0.1
CPT0069520003
Tumor
-0.1
CPT0147900003
Normal
-0.1
CPT0147100003
Normal
-0.1
CPT0110860004
Tumor
-0.1
CPT0063750003
Normal
-0.1
CPT0146680004
Tumor
-0.1
CPT0011910004
Tumor
-0.1
CPT0082770003
Normal
-0.1
CPT0086770003
Normal
-0.1
CPT0090900004
Normal
-0.1
CPT0104760003
Normal
-0.1
CPT0109700003
Normal
-0.1
CPT0013600003
Tumor
-0.1
CPT0109760003
Normal
-0.1
CPT0068650003
Normal
-0.2
CPT0068800003
Tumor
-0.2
CPT0114880003
Normal
-0.2
CPT0079850003
Normal
-0.2
CPT0118360003
Normal
-0.2
CPT0115090003
Normal
-0.2
CPT0000930003
Normal
-0.2
CPT0068130003
Normal
-0.2
CPT0083140003
Normal
-0.2
CPT0069700003
Tumor
-0.2
CPT0148300003
Normal
-0.2
CPT0111480003
Normal
-0.2
CPT0105010004
Normal
-0.2
CPT0092940003
Normal
-0.2
CPT0083390004
Tumor
-0.2
CPT0001690003
Normal
-0.2
CPT0118010003
Normal
-0.2
CPT0067470004
Normal
-0.2
CPT0102480003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0114690003
Normal
-0.2
CPT0023320003
Normal
-0.2
CPT0118180003
Normal
-0.2
CPT0105610003
Normal
-0.2
CPT0118890003
Normal
-0.2
CPT0090370003
Normal
-0.2
CPT0067770003
Normal
-0.2
CPT0147400003
Normal
-0.2
CPT0146800003
Normal
-0.2
CPT0148100003
Normal
-0.2
CPT0109710003
Normal
-0.2
CPT0069550003
Normal
-0.2
CPT0083420003
Normal
-0.2
CPT0067110003
Normal
-0.2
CPT0063730003
Tumor
-0.2
CPT0015420003
Normal
-0.2
CPT0111590003
Normal
-0.2
CPT0069370003
Normal
-0.3
CPT0146600003
Normal
-0.3
CPT0118240003
Normal
-0.3
CPT0146700003
Normal
-0.3
CPT0147580004
Tumor
-0.3
CPT0111300003
Tumor
-0.3
CPT0068830003
Normal
-0.3
CPT0109830004
Tumor
-0.3
CPT0118830003
Normal
-0.3
CPT0106100003
Normal
-0.3
CPT0147600003
Normal
-0.3
CPT0089360003
Normal
-0.3
CPT0066780003
Tumor
-0.3
CPT0083100003
Tumor
-0.3
CPT0148200003
Normal
-0.4
CPT0147000003
Normal
-0.4
CPT0008420003
Normal
-0.4
CPT0146880004
Tumor
-0.4
CPT0066930003
Normal
-0.4
CPT0125830003
Normal
-0.4
CPT0109720004
Tumor
-0.4
CPT0090600003
Normal
-0.4
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
CPT0146380004
Tumor
0.8
CPT0104360003
Tumor
0.6
CPT0105420003
Tumor
0.6
CPT0245830003
Tumor
0.6
CPT0204990003
Tumor
0.6
CPT0197740003
Tumor
0.5
CPT0191860003
Tumor
0.5
CPT0079050003
Tumor
0.5
CPT0117720003
Tumor
0.5
CPT0197090003
Tumor
0.4
CPT0208770003
Tumor
0.4
CPT0130030003
Tumor
0.4
CPT0238110004
Tumor
0.4
CPT0091050003
Tumor
0.4
CPT0237060004
Tumor
0.4
CPT0126450003
Tumor
0.4
CPT0086260003
Tumor
0.4
CPT0192540004
Tumor
0.4
CPT0204600003
Tumor
0.4
CPT0112650003
Tumor
0.4
CPT0104930003
Tumor
0.4
CPT0091820003
Tumor
0.3
CPT0089880003
Tumor
0.3
CPT0237200004
Tumor
0.3
CPT0197150003
Tumor
0.3
CPT0202350004
Tumor
0.3
CPT0079100003
Tumor
0.3
CPT0130410003
Tumor
0.3
CPT0217420003
Tumor
0.3
CPT0209020004
Tumor
0.3
CPT0197480003
Tumor
0.3
CPT0234930004
Tumor
0.3
CPT0221200003
Tumor
0.3
CPT0146480004
Tumor
0.3
CPT0175260003
Tumor
0.3
CPT0187370003
Tumor
0.3
CPT0010050003
Tumor
0.3
CPT0222730003
Tumor
0.3
CPT0091610003
Tumor
0.3
CPT0233320003
Tumor
0.3
CPT0204800003
Tumor
0.3
CPT0195510003
Tumor
0.2
CPT0197210003
Tumor
0.2
CPT0175390003
Tumor
0.2
CPT0234560003
Tumor
0.2
CPT0136640003
Tumor
0.2
CPT0126390003
Tumor
0.2
CPT0001020003
Tumor
0.2
CPT0191930003
Normal
0.2
CPT0227400003
Tumor
0.2
CPT0083980003
Tumor
0.2
CPT0191710003
Tumor
0.2
CPT0090440003
Tumor
0.2
CPT0209490003
Tumor
0.2
CPT0130440004
Normal
0.2
CPT0175560003
Tumor
0.2
CPT0245780003
Tumor
0.2
CPT0007740003
Tumor
0.2
CPT0237690004
Tumor
0.2
CPT0202170003
Tumor
0.2
CPT0233600003
Tumor
0.2
CPT0126830003
Normal
0.2
CPT0102840003
Normal
0.1
CPT0207210003
Tumor
0.1
CPT0202530004
Tumor
0.1
CPT0237410004
Tumor
0.1
CPT0108560003
Tumor
0.1
CPT0202720003
Tumor
0.1
CPT0186130003
Tumor
0.1
CPT0098800003
Normal
0.1
CPT0087190003
Tumor
0.1
CPT0112580003
Tumor
0.1
CPT0225380003
Tumor
0.1
CPT0186180003
Tumor
0.1
CPT0010060003
Normal
0.1
CPT0023470003
Tumor
0.1
CPT0223790003
Tumor
0.1
CPT0023500003
Normal
0.1
CPT0245880003
Tumor
0.1
CPT0221220003
Normal
0.1
CPT0205000003
Normal
0.1
CPT0202580004
Normal
0.1
CPT0068280003
Tumor
0.1
CPT0197380003
Normal
0.1
CPT0223820003
Normal
0.1
CPT0232670003
Tumor
0.0
CPT0126810003
Tumor
0.0
CPT0175410003
Normal
0.0
CPT0126740003
Tumor
0.0
CPT0219360003
Tumor
0.0
CPT0237210003
Normal
0.0
CPT0183270003
Normal
0.0
CPT0236420003
Tumor
0.0
CPT0112720003
Tumor
0.0
CPT0202020008
Tumor
0.0
CPT0218280003
Tumor
0.0
CPT0087210003
Normal
0.0
CPT0126470003
Normal
0.0
CPT0197860003
Normal
0.0
CPT0112540003
Tumor
0.0
CPT0195520003
Normal
0.0
CPT0237760003
Tumor
0.0
CPT0063480003
Tumor
0.0
CPT0147180004
Tumor
0.0
CPT0136660003
Normal
0.0
CPT0069890003
Tumor
0.0
CPT0187380003
Normal
0.0
CPT0091620003
Normal
0.0
CPT0115860003
Normal
0.0
CPT0146400003
Normal
0.0
CPT0202400004
Normal
0.0
CPT0112600003
Normal
0.0
CPT0098770003
Tumor
0.0
CPT0111150004
Tumor
0.0
CPT0186210003
Normal
0.0
CPT0086270003
Normal
0.0
CPT0192590004
Normal
0.0
CPT0105430003
Normal
0.0
CPT0104380003
Normal
0.0
CPT0063430003
Tumor
-0.1
CPT0007760003
Normal
-0.1
CPT0234790003
Tumor
-0.1
CPT0126760003
Normal
-0.1
CPT0175270003
Normal
-0.1
CPT0233120003
Tumor
-0.1
CPT0225470003
Normal
-0.1
CPT0130270003
Tumor
-0.1
CPT0112660003
Normal
-0.1
CPT0245790003
Normal
-0.1
CPT0196810003
Tumor
-0.1
CPT0115830003
Tumor
-0.1
CPT0063440003
Normal
-0.1
CPT0234580003
Normal
-0.1
CPT0237710003
Normal
-0.1
CPT0204820003
Normal
-0.1
CPT0069900003
Normal
-0.1
CPT0237570003
Normal
-0.1
CPT0175120003
Tumor
-0.1
CPT0237430003
Normal
-0.1
CPT0245890003
Normal
-0.1
CPT0202740003
Normal
-0.1
CPT0222740003
Normal
-0.1
CPT0123370003
Normal
-0.1
CPT0117770003
Normal
-0.1
CPT0197520003
Normal
-0.1
CPT0197170003
Normal
-0.1
CPT0237970004
Tumor
-0.1
CPT0108600003
Normal
-0.1
CPT0186140003
Normal
-0.1
CPT0147700003
Normal
-0.1
CPT0104950003
Normal
-0.1
CPT0241170003
Tumor
-0.1
CPT0083990003
Normal
-0.1
CPT0202040003
Normal
-0.1
CPT0126670003
Tumor
-0.1
CPT0237550004
Tumor
-0.2
CPT0234950004
Normal
-0.2
CPT0130310003
Normal
-0.2
CPT0190550003
Tumor
-0.2
CPT0241210003
Normal
-0.2
CPT0227070003
Normal
-0.2
CPT0233330003
Normal
-0.2
CPT0202220004
Normal
-0.2
CPT0221650003
Tumor
-0.2
CPT0237780003
Normal
-0.2
CPT0147200003
Normal
-0.2
CPT0207250003
Normal
-0.2
CPT0218310003
Normal
-0.2
CPT0101130003
Tumor
-0.2
CPT0233160003
Normal
-0.2
CPT0111000004
Normal
-0.2
CPT0146500003
Normal
-0.2
CPT0068320003
Normal
-0.2
CPT0209040003
Normal
-0.2
CPT0079110003
Normal
-0.2
CPT0175160003
Normal
-0.2
CPT0130070003
Normal
-0.2
CPT0234820003
Normal
-0.2
CPT0197100003
Normal
-0.2
CPT0183250004
Tumor
-0.3
CPT0147680004
Tumor
-0.3
CPT0232690003
Normal
-0.3
CPT0238130003
Normal
-0.3
CPT0079060003
Normal
-0.3
CPT0126400003
Normal
-0.3
CPT0221660003
Normal
-0.3
CPT0237080003
Normal
-0.3
CPT0063500003
Normal
-0.3
CPT0217490003
Normal
-0.3
CPT0112730003
Normal
-0.3
CPT0219390003
Normal
-0.3
CPT0208780003
Normal
-0.3
CPT0123350003
Tumor
-0.3
CPT0245840003
Normal
-0.3
CPT0236430003
Normal
-0.3
CPT0196820003
Normal
-0.3
CPT0128900003
Normal
-0.3
CPT0102790003
Tumor
-0.4
CPT0237990003
Normal
-0.4
CPT0112550003
Normal
-0.4
CPT0128890003
Tumor
-0.4
CPT0204660003
Normal
-0.4
CPT0091090003
Normal
-0.4
CPT0191750003
Normal
-0.4
CPT0001030003
Normal
-0.4
CPT0227420003
Normal
-0.4
CPT0233640003
Normal
-0.4
CPT0064050003
Normal
-0.4
CPT0209510003
Normal
-0.4
CPT0064040003
Tumor
-0.5
CPT0227020003
Tumor
-0.6
CPT0126530003
Tumor
-0.8
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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.
The Human Protein Atlas project is funded
