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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.
RPL37A 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
2584.6
Number of samples
497
Samples
Sample
Description
TPM
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
7745.1
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
7732.3
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
6232.1
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
6159.2
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
5620.9
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
5578.7
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
5524.1
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
5488.1
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
5450.9
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
5319.9
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
5185.7
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
5178.6
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
5159.6
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
5120.9
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
5116.0
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
5103.1
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
5066.6
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
4849.2
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
4748.4
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
4703.3
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
4697.9
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
4617.5
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
4604.2
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
4580.1
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
4559.1
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
4538.5
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
4537.9
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
4532.4
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
4511.5
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
4495.8
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
4473.3
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
4416.5
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
4350.2
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
4298.3
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
4281.7
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
4277.4
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
4263.2
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
4252.3
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
4235.6
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
4216.1
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
4169.6
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
4131.0
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
4102.6
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
4059.5
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
4048.0
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
4047.7
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
4038.9
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
4006.9
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
3959.8
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
3959.8
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
3938.9
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
3913.1
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
3912.8
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
3908.4
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
3864.2
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
3854.7
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
3851.3
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
3847.6
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
3829.7
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
3826.5
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
3824.7
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
3802.0
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
3793.7
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
3788.4
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
3782.2
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
3749.4
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
3694.2
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
3674.1
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
3672.8
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
3659.9
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
3659.5
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
3642.5
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
3641.8
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
3621.2
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
3617.7
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
3613.3
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
3603.7
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
3600.7
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
3585.8
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
3558.3
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
3536.3
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
3530.7
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
3508.7
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
3482.6
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
3476.0
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
3458.6
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
3455.8
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
3455.7
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
3436.5
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
3415.9
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
3408.7
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
3408.5
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
3406.0
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
3394.2
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
3383.1
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
3362.9
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
3339.0
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
3338.0
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
3324.9
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
3319.3
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
3316.7
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
3302.0
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
3295.6
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
3285.0
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
3284.6
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
3269.9
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
3269.3
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
3265.5
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
3261.8
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
3261.7
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
3256.2
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
3242.0
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
3235.6
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
3234.5
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
3213.0
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
3209.3
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
3198.9
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
3193.6
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
3177.6
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
3168.7
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
3166.2
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
3159.9
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
3137.8
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
3135.1
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
3131.7
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
3128.8
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
3114.7
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
3108.7
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
3108.0
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
3096.3
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
3087.5
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
3087.5
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
3044.3
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
3041.8
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
3039.9
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
3039.7
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
3039.6
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
3036.3
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
3030.9
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
3030.0
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
3021.3
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
3019.0
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
3009.7
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
3004.7
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
2989.0
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
2975.5
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
2970.6
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
2970.3
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
2939.6
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
2929.2
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
2922.4
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
2918.7
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
2909.9
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
2903.7
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
2902.0
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
2896.4
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
2894.3
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
2880.7
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
2880.4
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
2870.5
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
2862.8
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
2862.1
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
2857.3
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
2839.7
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
2839.4
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
2834.9
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
2817.5
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
2817.4
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
2814.4
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
2813.8
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
2812.6
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
2811.4
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
2809.6
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
2809.4
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
2807.5
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
2807.1
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
2789.4
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
2781.6
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
2777.1
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
2769.4
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
2761.9
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
2759.8
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
2749.5
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
2748.0
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
2745.4
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
2732.8
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
2722.9
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
2718.7
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
2711.8
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
2707.3
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
2700.4
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
2696.1
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
2695.6
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
2693.5
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
2692.5
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
2691.6
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
2690.4
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
2685.1
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
2678.8
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
2668.6
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
2663.4
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
2652.3
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
2649.7
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
2649.0
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
2648.6
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
2642.7
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
2642.6
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
2642.2
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
2634.2
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
2627.1
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
2626.8
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
2625.0
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
2616.3
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
2607.6
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
2605.5
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
2584.2
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
2584.0
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
2579.5
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
2575.1
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
2573.3
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
2569.5
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
2564.8
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
2560.0
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
2554.0
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
2547.3
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
2545.4
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
2545.3
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
2534.1
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
2532.7
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
2521.8
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
2517.7
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
2516.1
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
2501.7
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
2499.5
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
2484.9
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
2476.5
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
2454.3
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
2441.1
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
2438.6
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
2431.9
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
2425.6
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
2425.1
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
2424.4
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
2424.0
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
2408.8
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
2400.5
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
2398.1
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
2395.4
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
2394.2
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
2383.3
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
2382.8
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
2382.3
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
2379.0
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
2378.8
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
2377.4
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
2371.1
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
2371.0
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
2356.7
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
2349.3
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
2340.7
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
2339.3
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
2338.7
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
2330.2
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
2325.7
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
2323.3
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
2322.2
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
2320.8
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
2320.8
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
2319.2
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
2318.2
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
2315.7
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
2313.1
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
2309.6
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
2305.2
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
2297.1
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
2296.3
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
2293.1
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
2292.7
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
2290.4
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
2290.2
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
2277.2
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
2277.0
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
2273.9
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
2269.2
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
2259.6
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
2241.6
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
2239.1
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
2238.6
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
2237.8
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
2234.6
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
2233.7
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
2229.0
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
2226.6
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
2223.3
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
2217.5
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
2217.4
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
2216.7
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
2214.0
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
2206.1
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
2203.3
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
2190.3
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
2188.5
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
2177.9
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
2173.3
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
2170.7
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
2169.8
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
2169.5
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
2164.5
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
2147.7
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
2142.2
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
2135.9
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
2129.1
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
2128.1
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
2117.2
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
2109.9
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
2106.0
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
2102.1
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
2089.5
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
2087.0
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
2086.3
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
2073.3
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
2070.6
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
2068.1
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
2067.3
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
2066.1
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
2057.4
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
2054.4
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
2052.5
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
2046.4
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
2033.4
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
2023.1
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
2011.8
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
2009.0
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
1999.7
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
1988.7
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
1985.4
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
1981.8
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
1980.8
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
1979.0
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
1974.9
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
1971.0
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
1964.0
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
1960.0
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
1954.8
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
1945.0
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
1945.0
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
1940.8
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
1937.9
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
1933.9
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
1932.2
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
1924.2
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
1913.9
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
1910.5
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
1910.3
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
1908.5
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
1908.3
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
1901.8
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
1894.6
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
1891.9
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
1885.7
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
1870.3
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
1862.7
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
1847.2
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
1845.7
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
1842.8
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
1829.3
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
1826.6
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
1825.0
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
1814.0
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
1810.2
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
1809.7
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
1802.9
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
1793.4
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
1791.5
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
1790.5
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
1785.8
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
1784.6
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
1782.4
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
1780.1
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
1780.1
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
1769.4
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
1766.9
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
1755.0
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
1750.5
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
1742.4
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
1739.1
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
1732.8
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
1730.6
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
1730.0
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
1709.1
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
1707.3
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
1703.1
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
1701.0
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
1695.8
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
1693.0
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
1689.6
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
1688.7
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
1679.6
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
1677.4
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
1677.2
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
1673.7
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
1673.1
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
1667.8
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
1666.3
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
1662.6
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
1650.3
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
1649.0
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
1646.9
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
1641.8
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
1641.4
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
1638.1
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
1630.4
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
1624.1
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
1623.3
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
1622.0
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
1617.3
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
1615.0
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
1614.4
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
1613.0
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
1606.0
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
1604.4
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
1602.5
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
1596.1
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
1592.1
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
1589.6
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
1573.5
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
1569.4
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
1552.8
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
1552.0
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
1539.2
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
1538.6
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
1534.8
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
1529.6
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
1521.5
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
1518.8
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
1504.6
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
1501.6
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
1491.4
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
1490.3
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
1466.0
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
1465.4
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
1463.4
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
1453.2
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
1450.5
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
1438.1
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
1436.8
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
1432.8
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
1431.8
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
1424.6
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
1423.1
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
1417.5
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
1409.0
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
1368.6
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
1366.0
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
1355.6
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
1354.4
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
1349.1
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
1342.3
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
1332.8
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
1326.2
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
1326.0
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
1325.0
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
1320.6
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
1315.9
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
1313.8
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
1311.4
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
1310.7
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
1308.2
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
1304.2
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
1271.9
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
1265.8
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
1239.7
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
1229.4
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
1206.6
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
1204.0
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
1198.8
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
1164.6
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
1161.3
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
1160.0
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
1149.5
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
1136.5
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
1121.5
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
1105.5
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
1103.2
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
1096.6
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
1089.2
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
1088.8
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
1087.8
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
1070.9
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
1050.3
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
925.0
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
912.0
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
883.0
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
852.9
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
782.1
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
778.0
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 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.
RPL37A 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
1907.5
Number of samples
105
Samples
Sample
Description
TPM
L616
54 years, male, stage:Stage IA, dead, 410 days
6981.4
L851
70 years, male, stage:Stage IB, dead, 1315 days
4268.9
L473
66 years, female, stage:Stage IA, alive, 3021 days
3578.0
L561
62 years, female, stage:Stage IA, alive, 2543 days
3444.4
L532
69 years, female, stage:Stage IA, dead, 301 days
3152.5
L782
73 years, female, stage:Stage IIB, alive, 3371 days
2912.3
L603
70 years, female, stage:Stage IB, dead, 972 days
2884.0
L842
62 years, female, stage:Stage IB, alive, 2005 days
2770.1
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
2703.5
L462
67 years, male, stage:Stage IIIA, dead, 568 days
2621.2
L566
58 years, male, stage:Stage IB, alive, 2489 days
2612.8
L683
77 years, female, stage:Stage IIA, dead, 612 days
2600.2
L605
74 years, female, stage:Stage IA, alive, 2460 days
2589.2
L877
70 years, female, stage:Stage IA, alive, 1599 days
2541.4
L731
59 years, female, stage:Stage IA, dead, 964 days
2488.2
L620
70 years, female, stage:Stage IIIA, dead, 338 days
2469.9
L689
69 years, male, stage:Stage IA, alive, 1943 days
2444.0
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
2433.6
L850
77 years, male, stage:Stage IIIA, dead, 997 days
2344.8
L662
66 years, male, stage:Stage IA, dead, 865 days
2334.4
L791
66 years, female, stage:Stage IIIA, dead, 368 days
2187.0
L867
62 years, female, stage:Stage IIIA, dead, 317 days
2171.7
L682
64 years, female, stage:Stage IIB, dead, 840 days
2169.6
L569
76 years, female, stage:Stage IA, alive, 2531 days
2141.8
L773
64 years, female, stage:Stage IV, dead, 311 days
2120.3
L439
80 years, male, stage:Stage IIB, dead, 2773 days
2105.8
L557
81 years, female, stage:Stage IB, alive, 2580 days
2102.0
L746
64 years, female, stage:Stage IIIA, dead, 594 days
2086.0
L458
76 years, female, stage:Stage IA, dead, 223 days
2085.6
L688
57 years, male, stage:Stage IIIA, dead, 789 days
2059.4
L626
76 years, female, stage:Stage IA, dead, 1994 days
2053.2
L827
70 years, male, stage:Stage IIB, dead, 1105 days
2044.5
L551
62 years, male, stage:Stage IA, alive, 2924 days
2010.7
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
2000.1
L710
72 years, female, stage:Stage IIA, alive, 1775 days
1976.8
L829
76 years, male, stage:Stage IA, alive, 2173 days
1963.7
L738
74 years, female, stage:Stage IB, dead, 1314 days
1958.7
L484
64 years, female, stage:Stage IA, alive, 2895 days
1946.7
L613
72 years, male, stage:Stage IIIA, dead, 19 days
1943.7
L703
71 years, male, stage:Stage IIA, dead, 1137 days
1942.3
L816
73 years, female, stage:Stage IIA, dead, 353 days
1931.2
L602
69 years, female, stage:Stage IA, alive, 2277 days
1924.2
L875
69 years, female, stage:Stage IA, alive, 1675 days
1887.2
L599
80 years, male, stage:Stage IB, dead, 2083 days
1859.5
L678
65 years, female, stage:Stage IB, dead, 1114 days
1841.9
L879
75 years, male, stage:Stage IV, dead, 873 days
1838.6
L630
65 years, female, stage:Stage IA, dead, 1733 days
1833.2
L890
56 years, female, stage:Stage IIB, dead, 1264 days
1820.8
L565
59 years, female, stage:Stage IB, dead, 543 days
1802.0
L606
55 years, male, stage:Stage IA, alive, 2336 days
1794.6
L673
74 years, female, stage:Stage IA, dead, 568 days
1788.3
L546
57 years, male, stage:Stage IA, dead, 973 days
1786.1
L768
60 years, male, stage:Stage IIIA, dead, 472 days
1782.4
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
1771.5
L826
45 years, female, stage:Stage IV, dead, 935 days
1767.8
L887
77 years, male, stage:Stage IA, dead, 374 days
1762.0
L885
62 years, female, stage:Stage IA, alive, 1618 days
1749.9
L838
71 years, female, stage:Stage IA, dead, 1005 days
1741.8
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
1721.6
L493
56 years, female, stage:Stage IIB, alive, 2945 days
1713.7
L617
68 years, male, stage:Stage IIIA, dead, 238 days
1692.1
L728
77 years, male, stage:Stage IIB, dead, 1128 days
1678.7
L530
76 years, female, stage:Stage IIA, dead, 308 days
1667.7
L656
58 years, male, stage:Stage IA, alive, 2227 days
1664.4
L871
74 years, male, stage:Stage IB, dead, 873 days
1629.2
L593
78 years, male, stage:Stage IA, dead, 2436 days
1621.6
L778
65 years, female, stage:Stage IA, alive, 1600 days
1589.7
L663
62 years, female, stage:Stage IB, alive, 2018 days
1571.5
L872
71 years, female, stage:Stage IA, alive, 1793 days
1562.1
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
1558.3
L585
70 years, female, stage:Stage IIA, dead, 402 days
1556.6
L749
49 years, female, stage:Stage IIIA, dead, 189 days
1556.2
L455
52 years, female, stage:Stage IA, alive, 3315 days
1546.7
L601
75 years, male, stage:Stage IB, dead, 2068 days
1532.9
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
1532.3
L873
62 years, female, stage:Stage IA, alive, 1740 days
1519.5
L400
78 years, male, stage:Stage IIA, dead, 1233 days
1515.3
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
1499.3
L638
65 years, male, stage:Stage IA, alive, 2076 days
1478.2
L766
59 years, male, stage:Stage IB, alive, 1793 days
1451.0
L808
48 years, female, stage:Stage IA, alive, 3001 days
1434.2
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
1432.2
L865
75 years, female, stage:Stage IIB, alive, 1927 days
1425.5
L832
65 years, female, stage:Stage IA, alive, 2145 days
1415.2
L404
74 years, female, stage:Stage IIA, dead, 2318 days
1413.9
L596
74 years, female, stage:Stage IA, alive, 2319 days
1383.3
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
1377.8
L413
72 years, female, stage:Stage IIIA, dead, 313 days
1371.2
L440
80 years, male, stage:Stage IIB, dead, 651 days
1360.1
L810
64 years, female, stage:Stage IIIA, dead, 625 days
1348.5
L802
62 years, female, stage:Stage IA, dead, 773 days
1343.8
L828
68 years, female, stage:Stage IIB, alive, 2222 days
1290.5
L695
68 years, female, stage:Stage IB, dead, 1762 days
1280.2
L543
65 years, male, stage:Stage IA, alive, 2711 days
1247.6
L735
75 years, female, stage:Stage IA, alive, 1830 days
1231.9
L545
60 years, female, stage:Stage IA, alive, 2874 days
1220.1
L531
74 years, male, stage:Stage IB, dead, 928 days
1208.8
L800
66 years, female, stage:Stage IA, dead, 2417 days
1204.7
L607
59 years, male, stage:Stage IB, alive, 2572 days
1188.7
L504
65 years, female, stage:Stage IA, dead, 1295 days
1162.6
L541
70 years, female, stage:Stage IIIA, dead, 915 days
1133.4
L831
62 years, female, stage:Stage IB, alive, 2152 days
1096.4
L725
64 years, female, stage:Stage IA, alive, 1830 days
1009.7
L446
71 years, female, stage:Stage IIB, dead, 415 days
968.3
L880
75 years, female, stage:Stage IA, alive, 1767 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.
RPL37A 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
2292.5
Number of samples
489
Samples
Sample
Description
TPM
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
7909.5
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
5629.7
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
5598.3
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
5494.7
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
5229.4
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
5187.1
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
5161.9
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
5141.8
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
5082.0
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
5025.5
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
5016.2
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
5011.9
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
4886.7
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
4848.0
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
4758.3
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
4718.1
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
4702.0
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
4669.9
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
4628.9
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
4550.4
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
4431.1
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
4413.6
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
4346.2
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
4273.4
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
4269.9
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
4235.8
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
4216.0
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
4186.9
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
4149.8
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
4064.6
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
4015.4
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
3989.4
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
3954.3
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
3935.2
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
3929.7
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
3918.1
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
3915.7
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
3913.8
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
3903.6
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
3896.3
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
3877.1
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
3832.7
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
3816.7
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
3810.8
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
3791.4
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
3786.5
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
3783.7
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
3745.0
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
3710.2
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
3704.8
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
3695.4
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
3687.9
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
3679.3
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
3660.2
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
3644.7
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
3630.5
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
3574.5
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
3562.0
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
3548.5
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
3533.2
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
3503.5
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
3446.8
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
3444.8
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
3425.8
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
3413.6
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
3398.1
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
3373.8
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
3348.7
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
3334.4
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
3328.4
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
3324.5
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
3312.2
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
3261.6
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
3260.9
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
3195.5
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
3176.8
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
3148.7
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
3140.6
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
3134.2
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
3114.6
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
3112.5
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
3092.7
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
3068.4
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
3065.1
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
3062.2
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
3055.5
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
3010.2
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
2999.5
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
2996.8
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
2994.8
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
2978.1
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
2977.4
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
2966.7
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
2956.7
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
2938.1
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
2930.3
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
2928.4
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
2917.7
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
2910.6
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
2908.8
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
2904.0
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
2902.5
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
2902.3
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
2895.8
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
2890.7
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
2890.5
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
2886.0
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
2874.1
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
2866.6
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
2866.6
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
2859.2
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
2853.3
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
2847.1
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
2841.7
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
2829.8
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
2825.6
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
2816.4
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
2811.4
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
2808.7
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
2807.0
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
2803.5
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
2795.8
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
2777.4
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
2763.2
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
2754.9
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
2753.9
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
2753.7
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
2753.1
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
2747.8
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
2740.4
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
2706.9
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
2706.5
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
2705.7
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
2705.0
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
2703.9
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
2701.2
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
2697.6
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
2688.7
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
2674.6
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
2673.4
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
2668.2
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
2662.4
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
2660.8
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
2659.0
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
2649.9
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
2649.1
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
2627.4
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
2617.7
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
2612.0
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
2604.6
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
2588.1
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
2586.8
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
2585.3
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
2565.5
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
2558.5
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
2551.3
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
2551.2
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
2546.6
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
2531.6
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
2522.7
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
2513.5
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
2513.4
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
2498.5
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
2498.4
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
2494.1
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
2483.5
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
2482.4
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
2470.6
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
2469.8
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
2469.1
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
2459.9
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
2430.7
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
2423.2
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
2422.8
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
2409.7
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
2398.2
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
2393.9
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
2391.7
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
2384.7
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
2383.7
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
2381.4
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
2369.9
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
2369.6
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
2367.5
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
2363.3
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
2357.1
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
2353.4
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
2351.3
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
2343.6
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
2340.1
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
2340.0
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
2339.9
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
2337.3
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
2336.2
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
2336.1
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
2335.0
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
2331.3
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
2330.1
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
2322.3
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
2313.0
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
2310.1
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
2304.9
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
2290.5
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
2287.3
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
2282.6
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
2282.6
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
2279.2
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
2278.2
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
2274.5
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
2269.2
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
2262.5
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
2257.0
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
2250.2
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
2249.3
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
2247.3
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
2243.0
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
2232.5
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
2229.3
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
2226.1
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
2225.5
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
2224.3
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
2222.6
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
2220.5
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
2219.3
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
2218.2
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
2216.5
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
2214.9
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
2213.9
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
2213.1
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
2209.2
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
2201.9
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
2194.1
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
2193.9
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
2177.1
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
2175.6
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
2171.5
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
2170.8
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
2170.4
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
2164.2
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
2157.5
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
2144.5
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
2142.2
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
2141.2
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
2127.5
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
2127.1
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
2096.6
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
2093.4
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
2085.7
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
2072.8
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
2066.0
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
2065.5
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
2057.7
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
2057.5
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
2055.5
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
2053.3
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
2052.5
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
2046.3
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
2035.6
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
2032.3
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
2027.7
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
2025.4
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
2024.5
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
2010.5
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
2009.6
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
2004.6
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
1995.9
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
1993.0
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
1990.2
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
1989.6
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
1987.9
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
1987.2
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
1981.8
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
1971.1
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
1970.1
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
1967.2
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
1966.2
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
1958.2
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
1952.2
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
1948.1
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
1944.2
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
1942.5
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
1941.7
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
1940.7
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
1936.9
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
1935.0
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
1932.4
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
1931.3
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
1922.6
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
1920.6
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
1915.9
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
1909.9
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
1909.7
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
1900.9
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
1899.0
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
1897.9
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
1896.4
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
1890.4
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
1885.1
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
1875.7
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
1874.6
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
1873.0
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
1872.2
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
1867.6
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
1867.5
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
1863.2
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
1856.9
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
1846.0
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
1843.2
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
1840.8
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
1835.4
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
1833.5
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
1832.3
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
1822.8
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
1821.4
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
1819.8
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
1819.2
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
1816.2
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
1809.4
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
1805.3
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
1805.1
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
1802.0
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
1799.1
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
1799.0
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
1796.5
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
1792.2
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
1785.2
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
1781.5
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
1778.6
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
1775.5
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
1765.6
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
1765.2
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
1758.1
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
1757.1
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
1753.6
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
1752.8
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
1750.7
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
1746.8
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
1743.0
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
1740.2
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
1735.5
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
1735.4
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
1731.1
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
1728.7
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
1724.5
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
1719.8
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
1711.4
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
1709.8
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
1702.5
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
1694.7
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
1666.0
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
1663.8
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
1660.7
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
1653.7
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
1653.3
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
1650.9
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
1645.5
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
1644.0
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
1641.0
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
1640.4
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
1632.7
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
1626.6
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
1621.7
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
1620.2
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
1617.2
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
1614.0
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
1600.7
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
1600.0
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
1599.5
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
1589.8
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
1588.3
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
1584.0
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
1580.5
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
1569.4
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
1568.3
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
1558.5
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
1544.8
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
1544.2
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
1540.8
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
1531.0
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
1526.2
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
1525.7
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
1523.9
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
1522.2
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
1521.1
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
1517.5
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
1507.3
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
1495.8
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
1494.9
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
1493.0
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
1487.1
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
1484.4
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
1484.2
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
1480.9
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
1480.1
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
1471.6
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
1467.3
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
1460.9
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
1452.5
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
1451.2
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
1445.6
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
1437.0
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
1421.8
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
1421.2
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
1407.4
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
1406.9
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
1400.3
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
1392.4
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
1387.9
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
1380.0
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
1370.3
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
1353.9
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
1352.6
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
1348.4
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
1345.5
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
1337.4
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
1335.5
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
1332.3
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
1330.2
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
1328.3
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
1321.5
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
1316.4
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
1312.9
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
1304.3
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
1301.8
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
1298.8
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
1287.7
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
1286.3
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
1280.1
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
1278.4
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
1276.1
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
1275.9
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
1273.2
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
1267.8
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
1264.4
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
1258.4
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
1221.5
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
1208.7
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
1204.8
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
1192.7
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
1186.3
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
1185.0
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
1183.0
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
1179.0
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
1174.3
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
1171.4
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
1170.5
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
1162.9
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
1154.9
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
1147.8
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
1144.2
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
1139.3
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
1138.6
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
1128.8
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
1113.8
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
1106.1
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
1092.9
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
1082.2
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
1073.1
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
1067.8
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
1058.5
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
1035.2
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
1034.5
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
1034.4
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
1022.4
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
1000.7
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
988.8
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
986.3
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
919.4
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
909.6
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
899.3
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
894.7
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
894.4
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
889.4
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
872.8
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
869.0
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
863.8
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
856.2
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
850.7
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
846.9
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
821.4
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
799.8
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
778.0
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
765.7
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
759.4
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
734.2
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
704.1
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
614.2
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
608.8
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 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.
RPL37A 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
1684.0
Number of samples
68
Samples
Sample
Description
TPM
L857
69 years, male, stage:Stage IB, dead, 226 days
5954.6
L608
73 years, male, stage:Stage IA, alive, 2350 days
3266.7
L447
67 years, male, stage:Stage IIB, alive, 3203 days
3158.3
L854
62 years, female, stage:Stage IB, alive, 2256 days
2766.2
L818
67 years, male, stage:Stage IB, alive, 2480 days
2566.6
L496
77 years, male, stage:Stage IB, alive, 2761 days
2565.0
L420
57 years, female, stage:Stage IIB, dead, 295 days
2527.3
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
2513.4
L592
61 years, male, stage:Stage IB, alive, 2368 days
2451.1
L650
69 years, female, stage:Stage IB, dead, 986 days
2382.8
L852
64 years, male, stage:Stage IB, dead, 700 days
2377.6
L459
75 years, male, stage:Stage IIA, alive, 3181 days
2340.5
L820
73 years, female, stage:Stage IA, alive, 2405 days
2246.6
L539
78 years, male, stage:Stage IB, dead, 370 days
2199.2
L744
75 years, male, stage:Stage IA, alive, 1614 days
2173.1
L488
61 years, female, stage:Stage IIA, alive, 2993 days
2161.0
L468
53 years, male, stage:Stage IB, alive, 3004 days
2148.5
L559
72 years, male, stage:Stage IIB, alive, 2615 days
2077.6
L568
77 years, female, stage:Stage IIB, dead, 71 days
2042.9
L464
66 years, male, stage:Stage IB, dead, 1935 days
2013.7
L824
70 years, male, stage:Stage IA, dead, 665 days
1909.9
L457
46 years, female, stage:Stage IIA, alive, 2901 days
1905.7
L739
49 years, female, stage:Stage IIIA, dead, 352 days
1876.8
L736
67 years, male, stage:Stage IA, dead, 1195 days
1872.8
L466
65 years, female, stage:Stage IIIA, dead, 412 days
1842.8
L586
67 years, male, stage:Stage IIA, dead, 784 days
1820.5
L881
70 years, male, stage:Stage IB, alive, 1752 days
1768.7
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
1576.9
L633
77 years, female, stage:Stage IA, alive, 2102 days
1574.2
L444
74 years, female, stage:Stage IIB, alive, 3337 days
1558.6
L886
71 years, male, stage:Stage IB, dead, 1932 days
1486.8
L788
54 years, female, stage:Stage IA, alive, 3385 days
1480.9
L644
67 years, male, stage:Stage IA, dead, 282 days
1468.0
L472
71 years, male, stage:Stage IB, dead, 423 days
1466.5
L604
67 years, male, stage:Stage IIA, dead, 286 days
1458.1
L642
67 years, male, stage:Stage IB, dead, 1167 days
1455.4
L483
65 years, male, stage:Stage IB, dead, 77 days
1454.3
L723
67 years, male, stage:Stage IIA, dead, 433 days
1418.7
L470
78 years, female, stage:Stage IB, dead, 1774 days
1395.4
L753
61 years, male, stage:Stage IIA, alive, 1705 days
1372.6
L490
58 years, male, stage:Stage IA, dead, 716 days
1372.5
L456
48 years, male, stage:Stage IIA, dead, 1660 days
1364.1
L767
67 years, male, stage:Stage IA, alive, 1718 days
1363.9
L755
82 years, male, stage:Stage IIA, dead, 227 days
1326.4
L685
71 years, female, stage:Stage IIB, alive, 1944 days
1276.2
L534
66 years, male, stage:Stage IIA, alive, 2693 days
1275.4
L442
75 years, female, stage:Stage IB, dead, 2433 days
1242.0
L747
74 years, female, stage:Stage IA, dead, 1112 days
1234.6
L864
66 years, female, stage:Stage IA, alive, 2192 days
1228.2
L758
84 years, male, stage:Stage IA, dead, 1562 days
1225.6
L406
64 years, male, stage:Stage IA, alive, 3057 days
1190.9
L563
61 years, female, stage:Stage IIB, dead, 1216 days
1154.3
L529
79 years, female, stage:Stage IA, alive, 2775 days
1130.8
L712
61 years, male, stage:Stage IA, alive, 1698 days
1123.1
L856
69 years, male, stage:Stage IA, dead, 1465 days
1087.4
L652
82 years, male, stage:Stage IA, dead, 5 days
1060.6
L719
63 years, male, stage:Stage IB, alive, 1615 days
1041.1
L715
69 years, female, stage:Stage IIIA, dead, 150 days
999.8
L661
66 years, male, stage:Stage IA, dead, 1123 days
994.3
L655
62 years, male, stage:Stage IIA, dead, 1603 days
992.8
L658
65 years, female, stage:Stage IIB, alive, 2083 days
968.1
L860
77 years, male, stage:Stage IA, alive, 2056 days
938.7
L858
69 years, female, stage:Stage IIB, dead, 558 days
862.4
L572
58 years, male, stage:Stage IA, alive, 2532 days
852.3
L760
80 years, male, stage:Stage IIA, alive, 1895 days
840.7
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
818.6
L756
72 years, male, stage:Stage IB, alive, 1796 days
777.2
L884
71 years, male, stage:Stage IIA, alive, 1627 days
676.1
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0084140003
Tumor
0.7
CPT0090340003
Tumor
0.6
CPT0063810003
Tumor
0.6
CPT0086750003
Tumor
0.5
CPT0118620003
Tumor
0.5
CPT0001960003
Tumor
0.4
CPT0068800003
Tumor
0.4
CPT0069360003
Tumor
0.4
CPT0147080004
Tumor
0.4
CPT0118340003
Tumor
0.4
CPT0090170004
Tumor
0.4
CPT0001660013
Tumor
0.4
CPT0092240003
Tumor
0.4
CPT0067070003
Tumor
0.4
CPT0067450003
Tumor
0.3
CPT0011750003
Normal
0.3
CPT0091860003
Tumor
0.3
CPT0109680004
Tumor
0.3
CPT0125810003
Tumor
0.3
CPT0089340003
Tumor
0.3
CPT0001580009
Tumor
0.3
CPT0118200003
Tumor
0.3
CPT0011710004
Tumor
0.3
CPT0015410003
Tumor
0.3
CPT0147980004
Tumor
0.3
CPT0067250003
Tumor
0.3
CPT0118160003
Tumor
0.2
CPT0105710003
Tumor
0.2
CPT0118810003
Tumor
0.2
CPT0147380004
Tumor
0.2
CPT0083780003
Tumor
0.2
CPT0001590003
Normal
0.2
CPT0112060003
Tumor
0.2
CPT0105630003
Tumor
0.2
CPT0105060003
Tumor
0.2
CPT0090570004
Tumor
0.2
CPT0052940004
Tumor
0.2
CPT0104750003
Tumor
0.2
CPT0068100003
Tumor
0.2
CPT0092930003
Tumor
0.2
CPT0147480004
Tumor
0.2
CPT0090700003
Tumor
0.2
CPT0000920017
Tumor
0.2
CPT0070060003
Tumor
0.2
CPT0013600003
Tumor
0.2
CPT0067940003
Tumor
0.2
CPT0014260003
Tumor
0.2
CPT0105940003
Tumor
0.2
CPT0147500003
Normal
0.1
CPT0092530003
Tumor
0.1
CPT0113210003
Tumor
0.1
CPT0105600003
Tumor
0.1
CPT0063730003
Tumor
0.1
CPT0105230003
Tumor
0.1
CPT0001060010
Tumor
0.1
CPT0146980004
Tumor
0.1
CPT0105680003
Normal
0.1
CPT0102450003
Tumor
0.1
CPT0115070003
Tumor
0.1
CPT0111300003
Tumor
0.1
CPT0109850003
Normal
0.1
CPT0098130003
Tumor
0.1
CPT0146880004
Tumor
0.1
CPT0106110003
Tumor
0.1
CPT0023310003
Tumor
0.1
CPT0079830003
Tumor
0.1
CPT0109720004
Tumor
0.1
CPT0052170004
Tumor
0.1
CPT0055100004
Tumor
0.1
CPT0014860003
Tumor
0.1
CPT0114660004
Tumor
0.1
CPT0147100003
Normal
0.1
CPT0109740004
Tumor
0.1
CPT0146780004
Tumor
0.1
CPT0008410003
Tumor
0.1
CPT0082740004
Tumor
0.1
CPT0097580003
Tumor
0.1
CPT0118880003
Tumor
0.1
CPT0105510003
Tumor
0.1
CPT0086320003
Normal
0.1
CPT0068610003
Tumor
0.1
CPT0092250003
Normal
0.1
CPT0051690004
Tumor
0.1
CPT0001800013
Tumor
0.1
CPT0082890003
Normal
0.1
CPT0001070003
Normal
0.1
CPT0066780003
Tumor
0.1
CPT0008450003
Tumor
0.1
CPT0104970003
Tumor
0.0
CPT0105330003
Tumor
0.0
CPT0063750003
Normal
0.0
CPT0067470004
Normal
0.0
CPT0104760003
Normal
0.0
CPT0147900003
Normal
0.0
CPT0083100003
Tumor
0.0
CPT0091240003
Tumor
0.0
CPT0148100003
Normal
0.0
CPT0148000003
Normal
0.0
CPT0110980004
Tumor
0.0
CPT0118570003
Tumor
0.0
CPT0082850004
Tumor
0.0
CPT0011930003
Normal
0.0
CPT0109760003
Normal
0.0
CPT0114840003
Tumor
0.0
CPT0090860003
Tumor
0.0
CPT0117970003
Tumor
0.0
CPT0001810003
Normal
0.0
CPT0001390003
Normal
0.0
CPT0069700003
Tumor
0.0
CPT0147400003
Normal
0.0
CPT0104650003
Normal
0.0
CPT0063840003
Normal
0.0
CPT0082770003
Normal
0.0
CPT0104630003
Tumor
0.0
CPT0067290003
Normal
0.0
CPT0148200003
Normal
0.0
CPT0148300003
Normal
0.0
CPT0001380003
Tumor
0.0
CPT0147000003
Normal
-0.1
CPT0105740003
Normal
-0.1
CPT0146680004
Tumor
-0.1
CPT0147600003
Normal
-0.1
CPT0109830004
Tumor
-0.1
CPT0066890003
Tumor
-0.1
CPT0105190003
Normal
-0.1
CPT0069550003
Normal
-0.1
CPT0112080003
Normal
-0.1
CPT0086770003
Normal
-0.1
CPT0148180004
Tumor
-0.1
CPT0013630003
Normal
-0.1
CPT0083140003
Normal
-0.1
CPT0069520003
Tumor
-0.1
CPT0067110003
Normal
-0.1
CPT0013880003
Tumor
-0.1
CPT0013910003
Normal
-0.1
CPT0068650003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0066810003
Normal
-0.1
CPT0053040004
Tumor
-0.1
CPT0069370003
Normal
-0.1
CPT0146700003
Normal
-0.1
CPT0113220003
Normal
-0.1
CPT0079850003
Normal
-0.1
CPT0097600003
Normal
-0.1
CPT0147880004
Tumor
-0.1
CPT0109710003
Normal
-0.1
CPT0118360003
Normal
-0.1
CPT0090200003
Normal
-0.1
CPT0067620003
Tumor
-0.1
CPT0068830003
Normal
-0.1
CPT0015420003
Normal
-0.1
CPT0146600003
Normal
-0.1
CPT0067950003
Normal
-0.1
CPT0114010003
Normal
-0.1
CPT0067770003
Normal
-0.1
CPT0000930003
Normal
-0.1
CPT0118240003
Normal
-0.1
CPT0091870003
Normal
-0.1
CPT0086310003
Tumor
-0.1
CPT0014930003
Normal
-0.1
CPT0105250003
Normal
-0.1
CPT0083390004
Tumor
-0.2
CPT0110860004
Tumor
-0.2
CPT0021450003
Tumor
-0.2
CPT0146800003
Normal
-0.2
CPT0062810003
Normal
-0.2
CPT0023320003
Normal
-0.2
CPT0114690003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0118600003
Normal
-0.2
CPT0111480003
Normal
-0.2
CPT0109700003
Normal
-0.2
CPT0001690003
Normal
-0.2
CPT0118890003
Normal
-0.2
CPT0084170003
Normal
-0.2
CPT0090720003
Normal
-0.2
CPT0089360003
Normal
-0.2
CPT0090600003
Normal
-0.3
CPT0110890003
Normal
-0.3
CPT0105370004
Normal
-0.3
CPT0105010004
Normal
-0.3
CPT0111590003
Normal
-0.3
CPT0068130003
Normal
-0.3
CPT0118830003
Normal
-0.3
CPT0113990003
Tumor
-0.3
CPT0092940003
Normal
-0.3
CPT0014290003
Normal
-0.3
CPT0091260003
Normal
-0.3
CPT0102480003
Normal
-0.3
CPT0148280004
Tumor
-0.3
CPT0083420003
Normal
-0.3
CPT0001970003
Normal
-0.3
CPT0105980003
Normal
-0.3
CPT0114880003
Normal
-0.3
CPT0115090003
Normal
-0.4
CPT0070080003
Normal
-0.4
CPT0105270003
Tumor
-0.4
CPT0106100003
Normal
-0.4
CPT0066930003
Normal
-0.4
CPT0118180003
Normal
-0.4
CPT0090900004
Normal
-0.4
CPT0125830003
Normal
-0.4
CPT0147580004
Tumor
-0.4
CPT0105610003
Normal
-0.4
CPT0083810003
Normal
-0.5
CPT0011910004
Tumor
-0.5
CPT0090370003
Normal
-0.5
CPT0118010003
Normal
-0.6
CPT0008420003
Normal
-0.6
CPT0069720003
Normal
-0.6
CPT0021490003
Normal
-0.7
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
0.6
CPT0068280003
Tumor
0.6
CPT0208770003
Tumor
0.6
CPT0086260003
Tumor
0.5
CPT0091820003
Tumor
0.5
CPT0197740003
Tumor
0.5
CPT0079050003
Tumor
0.4
CPT0091050003
Tumor
0.4
CPT0191710003
Tumor
0.4
CPT0223820003
Normal
0.4
CPT0175260003
Tumor
0.4
CPT0204800003
Tumor
0.4
CPT0001020003
Tumor
0.4
CPT0234560003
Tumor
0.4
CPT0147180004
Tumor
0.4
CPT0083980003
Tumor
0.4
CPT0146480004
Tumor
0.4
CPT0147680004
Tumor
0.4
CPT0126830003
Normal
0.3
CPT0241170003
Tumor
0.3
CPT0237200004
Tumor
0.3
CPT0146400003
Normal
0.3
CPT0217420003
Tumor
0.3
CPT0219360003
Tumor
0.3
CPT0112540003
Tumor
0.3
CPT0237060004
Tumor
0.3
CPT0130030003
Tumor
0.3
CPT0234930004
Tumor
0.3
CPT0245830003
Tumor
0.3
CPT0069890003
Tumor
0.3
CPT0115830003
Tumor
0.3
CPT0128890003
Tumor
0.3
CPT0126810003
Tumor
0.3
CPT0237690004
Tumor
0.3
CPT0218280003
Tumor
0.3
CPT0237080003
Normal
0.3
CPT0112580003
Tumor
0.3
CPT0197090003
Tumor
0.3
CPT0126450003
Tumor
0.3
CPT0237970004
Tumor
0.2
CPT0175560003
Tumor
0.2
CPT0236420003
Tumor
0.2
CPT0227400003
Tumor
0.2
CPT0187370003
Tumor
0.2
CPT0183250004
Tumor
0.2
CPT0223790003
Tumor
0.2
CPT0102790003
Tumor
0.2
CPT0023470003
Tumor
0.2
CPT0112600003
Normal
0.2
CPT0238110004
Tumor
0.2
CPT0175270003
Normal
0.2
CPT0126390003
Tumor
0.2
CPT0209490003
Tumor
0.2
CPT0237550004
Tumor
0.2
CPT0010060003
Normal
0.2
CPT0007740003
Tumor
0.2
CPT0175390003
Tumor
0.2
CPT0079100003
Tumor
0.2
CPT0126470003
Normal
0.2
CPT0202530004
Tumor
0.2
CPT0108560003
Tumor
0.2
CPT0104930003
Tumor
0.2
CPT0245780003
Tumor
0.2
CPT0147700003
Normal
0.2
CPT0202720003
Tumor
0.2
CPT0108600003
Normal
0.1
CPT0202170003
Tumor
0.1
CPT0192540004
Tumor
0.1
CPT0204990003
Tumor
0.1
CPT0245790003
Normal
0.1
CPT0234790003
Tumor
0.1
CPT0197150003
Tumor
0.1
CPT0202400004
Normal
0.1
CPT0175120003
Tumor
0.1
CPT0209510003
Normal
0.1
CPT0209040003
Normal
0.1
CPT0105420003
Tumor
0.1
CPT0186130003
Tumor
0.1
CPT0102840003
Normal
0.1
CPT0063430003
Tumor
0.1
CPT0112650003
Tumor
0.1
CPT0023500003
Normal
0.1
CPT0090440003
Tumor
0.1
CPT0112720003
Tumor
0.1
CPT0089880003
Tumor
0.1
CPT0221200003
Tumor
0.1
CPT0104360003
Tumor
0.1
CPT0197380003
Normal
0.1
CPT0196820003
Normal
0.1
CPT0237570003
Normal
0.1
CPT0111150004
Tumor
0.1
CPT0187380003
Normal
0.1
CPT0130440004
Normal
0.1
CPT0098770003
Tumor
0.1
CPT0208780003
Normal
0.1
CPT0232670003
Tumor
0.1
CPT0218310003
Normal
0.0
CPT0083990003
Normal
0.0
CPT0126740003
Tumor
0.0
CPT0209020004
Tumor
0.0
CPT0195520003
Normal
0.0
CPT0237210003
Normal
0.0
CPT0197210003
Tumor
0.0
CPT0104380003
Normal
0.0
CPT0079110003
Normal
0.0
CPT0197480003
Tumor
0.0
CPT0197860003
Normal
0.0
CPT0104950003
Normal
0.0
CPT0086270003
Normal
0.0
CPT0117720003
Tumor
0.0
CPT0101130003
Tumor
0.0
CPT0202350004
Tumor
0.0
CPT0136660003
Normal
0.0
CPT0112660003
Normal
0.0
CPT0233600003
Tumor
0.0
CPT0245880003
Tumor
0.0
CPT0202220004
Normal
0.0
CPT0190550003
Tumor
0.0
CPT0126530003
Tumor
0.0
CPT0068320003
Normal
0.0
CPT0063440003
Normal
0.0
CPT0112730003
Normal
0.0
CPT0202020008
Tumor
0.0
CPT0091090003
Normal
0.0
CPT0196810003
Tumor
0.0
CPT0091610003
Tumor
0.0
CPT0191750003
Normal
0.0
CPT0237410004
Tumor
0.0
CPT0237710003
Normal
0.0
CPT0087210003
Normal
0.0
CPT0207210003
Tumor
0.0
CPT0186180003
Tumor
0.0
CPT0111000004
Normal
0.0
CPT0241210003
Normal
0.0
CPT0130410003
Tumor
0.0
CPT0126760003
Normal
-0.1
CPT0205000003
Normal
-0.1
CPT0227420003
Normal
-0.1
CPT0183270003
Normal
-0.1
CPT0202740003
Normal
-0.1
CPT0130070003
Normal
-0.1
CPT0175410003
Normal
-0.1
CPT0236430003
Normal
-0.1
CPT0221660003
Normal
-0.1
CPT0128900003
Normal
-0.1
CPT0130310003
Normal
-0.1
CPT0186210003
Normal
-0.1
CPT0204660003
Normal
-0.1
CPT0091620003
Normal
-0.1
CPT0063480003
Tumor
-0.1
CPT0222730003
Tumor
-0.1
CPT0202040003
Normal
-0.1
CPT0237780003
Normal
-0.1
CPT0112550003
Normal
-0.1
CPT0221650003
Tumor
-0.1
CPT0191860003
Tumor
-0.1
CPT0191930003
Normal
-0.1
CPT0146500003
Normal
-0.1
CPT0001030003
Normal
-0.1
CPT0007760003
Normal
-0.1
CPT0232690003
Normal
-0.1
CPT0130270003
Tumor
-0.1
CPT0204600003
Tumor
-0.1
CPT0079060003
Normal
-0.1
CPT0238130003
Normal
-0.2
CPT0197170003
Normal
-0.2
CPT0221220003
Normal
-0.2
CPT0064040003
Tumor
-0.2
CPT0217490003
Normal
-0.2
CPT0219390003
Normal
-0.2
CPT0105430003
Normal
-0.2
CPT0098800003
Normal
-0.2
CPT0237430003
Normal
-0.2
CPT0233160003
Normal
-0.2
CPT0192590004
Normal
-0.2
CPT0233330003
Normal
-0.2
CPT0245840003
Normal
-0.2
CPT0225380003
Tumor
-0.2
CPT0222740003
Normal
-0.2
CPT0234580003
Normal
-0.2
CPT0115860003
Normal
-0.2
CPT0195510003
Tumor
-0.2
CPT0136640003
Tumor
-0.2
CPT0227070003
Normal
-0.2
CPT0233320003
Tumor
-0.2
CPT0175160003
Normal
-0.2
CPT0126670003
Tumor
-0.2
CPT0123350003
Tumor
-0.2
CPT0147200003
Normal
-0.2
CPT0126400003
Normal
-0.3
CPT0237760003
Tumor
-0.3
CPT0204820003
Normal
-0.3
CPT0064050003
Normal
-0.3
CPT0237990003
Normal
-0.3
CPT0207250003
Normal
-0.3
CPT0233640003
Normal
-0.3
CPT0186140003
Normal
-0.3
CPT0063500003
Normal
-0.3
CPT0225470003
Normal
-0.3
CPT0087190003
Tumor
-0.3
CPT0123370003
Normal
-0.3
CPT0234950004
Normal
-0.3
CPT0117770003
Normal
-0.3
CPT0234820003
Normal
-0.4
CPT0010050003
Tumor
-0.4
CPT0197520003
Normal
-0.4
CPT0197100003
Normal
-0.4
CPT0233120003
Tumor
-0.4
CPT0245890003
Normal
-0.4
CPT0202580004
Normal
-0.5
CPT0227020003
Tumor
-0.6
CPT0069900003
Normal
-0.6
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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
