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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.
MT-ND1 is potential prognostic, high expression is favorable in Kidney Chromophobe (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 pTPM
23556.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
57185.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
54228.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
53843.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
50085.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
45810.9
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
44817.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
41270.0
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
36502.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
35802.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
33052.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
32707.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
31039.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
30709.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
29340.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
28544.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
28226.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
28180.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
26261.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
25835.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
25489.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
24882.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
24592.1
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
24391.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
23932.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
23802.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
23589.7
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
23215.2
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
23122.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
23046.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
23030.3
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
22730.6
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
21796.0
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
21715.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
21243.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
20922.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
20623.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
20142.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
19820.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
19659.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
19577.2
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
19177.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
18959.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
18927.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
18416.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
17689.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
17090.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
17085.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
16871.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
16771.8
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
16401.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
15772.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
15320.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
14837.1
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
13993.3
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
13552.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
11284.8
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
11262.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
11136.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
10581.9
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
10489.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
7180.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5878.8
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3988.5
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 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.
MT-ND1 is not prognostic in Kidney Renal Clear 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 pTPM
11521.2
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
63323.2
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
39689.3
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
38272.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
36849.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
31928.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
31854.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
31796.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
31770.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
31286.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
31091.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
30841.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
29712.5
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
29707.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
29667.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
29579.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
28921.5
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
28025.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
28010.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
27772.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
27047.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
26823.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
26567.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
26526.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
26198.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
25992.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
25789.5
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
25459.4
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
25425.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
24597.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
24135.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
23777.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
23773.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
23592.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
23549.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
23424.0
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
23241.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
22515.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
22507.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
22345.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
22321.9
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
22212.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
22190.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
22170.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
22119.3
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
21847.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
21533.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
21531.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
21472.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
21418.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
21012.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
20998.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
20815.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
20801.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
20704.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
20448.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
20425.4
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
20279.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
20149.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
20147.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
20048.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
19961.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
19639.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
19587.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
19544.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
19535.3
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
19520.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
19514.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
19435.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
19426.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
19283.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
19181.0
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
19126.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
19102.8
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
19036.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
19026.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
18963.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
18823.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
18673.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
18624.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
18323.0
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
18256.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
18231.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
18073.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
18064.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
18010.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
17998.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
17958.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
17857.4
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
17829.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
17713.1
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
17605.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
17580.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
17464.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
17454.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
17447.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
17413.4
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
17388.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
17186.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
17117.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
17116.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
17105.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
16910.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
16748.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
16732.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
16690.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
16674.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
16654.7
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
16650.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
16640.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
16560.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
16535.8
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
16446.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
16427.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
16402.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
16327.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
16139.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
16025.3
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
15907.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
15904.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
15887.9
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
15809.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
15616.1
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
15461.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
15408.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
15367.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
15249.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
15152.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
15114.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
15046.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
15027.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
15015.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
14952.8
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
14793.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
14703.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
14684.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
14598.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
14574.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
14519.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
14238.4
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
14238.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
14237.3
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
14106.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
14094.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
14067.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
14042.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
13935.8
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
13912.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
13871.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
13839.9
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
13818.9
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
13804.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
13790.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
13670.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
13601.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
13547.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
13526.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
13436.0
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
13146.2
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
13122.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
13077.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
13065.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
13014.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
12969.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
12966.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
12951.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
12946.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
12831.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
12819.3
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
12809.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
12788.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
12786.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
12760.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
12717.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
12715.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
12664.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
12592.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
12588.7
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
12576.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
12574.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
12550.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
12546.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
12505.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
12502.8
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
12408.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
12408.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
12343.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
12288.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
12257.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
12255.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
12207.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
12201.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
12154.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
12143.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
11998.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
11994.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
11984.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
11935.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
11827.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
11792.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
11776.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
11709.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
11689.3
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
11688.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
11672.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
11485.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
11454.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
11454.3
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
11437.6
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
11331.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
11299.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
11177.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
11161.2
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
11158.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
11155.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
11151.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
11118.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
11108.3
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
11072.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
11008.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
10925.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
10815.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10718.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
10622.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
10602.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
10504.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
10497.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
10449.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
10416.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
10413.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
10395.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
10389.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
10347.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
10346.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
10343.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
10303.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
10218.1
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
10198.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
10196.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
10192.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
10191.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
10175.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
10174.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
10163.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
10125.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
10124.9
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
10084.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
10065.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
10062.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10041.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
10032.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
9944.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
9869.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
9806.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
9804.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
9780.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
9695.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
9689.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
9666.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
9660.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
9620.5
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
9614.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
9614.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
9524.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9508.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
9475.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
9445.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
9382.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
9372.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
9364.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
9363.9
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
9352.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
9352.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
9332.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
9313.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
9312.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
9272.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
9226.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
9208.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
9183.2
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
9113.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
9078.9
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9068.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9040.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
9003.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
8987.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
8972.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
8925.1
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8924.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
8882.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
8854.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
8850.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
8841.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
8799.4
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
8771.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
8745.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
8740.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
8731.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
8630.5
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
8629.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8625.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
8599.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
8593.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
8546.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
8544.5
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
8513.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
8499.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
8477.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
8458.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
8437.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
8415.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
8396.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8386.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
8369.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
8353.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
8299.1
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
8292.8
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
8259.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
8239.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
8231.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
8223.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
8222.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
8202.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
8194.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
8175.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
8150.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
8133.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
8118.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
8111.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
8096.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
8056.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8052.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
8009.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
8009.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
7949.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
7949.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
7945.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
7929.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
7929.0
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
7926.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
7854.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
7850.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
7823.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7822.1
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
7783.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7752.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7722.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
7721.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
7685.0
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
7649.8
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7612.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
7597.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7585.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
7585.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
7562.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
7505.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
7487.1
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
7449.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
7427.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
7361.7
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
7349.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7335.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
7334.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
7326.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
7286.0
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
7212.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
7104.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
7079.6
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7049.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
7019.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
7012.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6971.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6965.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
6961.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
6960.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
6953.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
6890.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6870.9
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6835.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6813.7
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6800.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6785.8
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6777.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
6756.9
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6712.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
6682.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
6678.1
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
6676.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
6647.7
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
6555.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
6531.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
6527.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
6499.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
6460.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6439.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6374.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6358.6
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6345.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
6333.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
6324.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6319.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
6300.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
6295.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
6292.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
6291.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
6271.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
6256.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6190.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
6180.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
6166.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6135.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6124.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
6107.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6097.0
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
6063.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
6047.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
6026.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
6012.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
6005.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
5993.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5922.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5849.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
5842.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5836.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
5821.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
5766.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
5726.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5682.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5597.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5583.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
5562.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
5535.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5530.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5524.9
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5502.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
5487.1
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
5479.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
5429.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5399.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5360.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5277.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5276.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5260.7
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5227.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5223.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
5205.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5186.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
5093.9
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5076.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5057.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5055.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5006.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
4912.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
4840.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4829.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4796.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4791.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4768.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
4765.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4741.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4733.0
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4728.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
4724.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4710.6
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4652.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4642.4
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4621.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4597.5
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4564.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4549.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
4487.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4462.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4455.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4445.3
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4434.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4381.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
4361.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4348.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4208.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4198.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4195.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4103.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4098.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4043.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4013.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4002.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3995.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3948.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3909.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3909.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3847.2
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3828.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3781.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
3681.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3629.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
3584.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3556.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3502.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3425.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3343.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3294.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3240.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3164.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
3112.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3028.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2999.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
2970.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2704.6
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2580.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2473.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2458.3
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2405.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2303.0
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1806.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1668.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1603.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1558.4
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1465.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1196.2
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
647.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
45.9
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 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.
MT-ND1 is not prognostic in Kidney Renal Clear 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 pTPM
9274.3
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
30221.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
26693.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
25870.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
25755.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
21252.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
19043.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
18230.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
17079.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
16915.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
16729.9
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
16209.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
14166.5
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
14136.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
13327.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
13098.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
13086.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
13066.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
12906.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
12797.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
12090.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
11761.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
11630.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
11372.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
11028.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
11025.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
10995.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
10715.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
10562.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
10511.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
10426.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
10364.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
10329.8
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
10079.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
10036.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
10008.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
9911.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
9776.4
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
9770.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
9517.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9511.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
9362.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
9304.1
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
9029.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
9010.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
8987.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
8916.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
8772.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
8492.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
8314.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
8181.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
7654.2
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
7650.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
7634.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
7500.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
7345.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
7338.7
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7268.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
7216.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7194.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
7136.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
7116.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7102.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
7065.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
6955.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
6892.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6771.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6680.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
6638.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6571.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
6336.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
6229.5
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
6217.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6089.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6077.6
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6033.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6015.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
5856.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
5785.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5550.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5522.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5376.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5330.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5025.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5000.6
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
4951.3
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4916.8
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4899.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4860.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
4567.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4549.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
4497.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4315.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3982.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3601.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3472.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2507.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2131.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
975.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 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.
MT-ND1 is not prognostic in Kidney Renal Papillary 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 pTPM
9196.3
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
42867.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
39779.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
33859.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
28793.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
26895.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
25868.6
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
25516.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
24771.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
24764.6
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
24367.0
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
24305.5
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
23538.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
23293.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
22598.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
21916.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
21472.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
21463.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
21261.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
20863.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
20451.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
19605.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
19604.5
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
19115.1
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
18687.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
18310.4
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
18234.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
17618.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
17477.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
17240.2
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
16631.8
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
16319.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
16281.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
16160.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
15867.8
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
15718.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
15707.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
15507.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
15434.9
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
15135.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
15063.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
14867.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
14864.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
14853.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
14710.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
14584.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
14559.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
14316.8
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
14161.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
14110.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
13981.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
13936.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
13883.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
13811.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
13793.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
13741.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
13737.4
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
13578.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
13413.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
13297.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
13287.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
12827.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
12824.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
12720.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
12654.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
12583.9
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
12510.4
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
12478.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
12469.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
12317.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
12246.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
12196.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
12192.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
11914.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
11900.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
11567.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
11502.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
11454.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
11362.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
11351.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
11215.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
11184.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
11109.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
11043.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
10906.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
10884.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
10865.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
10797.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
10746.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
10703.8
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
10668.4
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
10655.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
10576.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
10534.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
10397.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
10388.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
10275.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
10198.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
10046.8
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
10027.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
10019.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
10013.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
10000.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
9994.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
9903.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
9831.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
9801.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
9792.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
9767.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
9666.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
9432.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
9395.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
9389.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
9309.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
9300.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
9274.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
9214.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
9159.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
9105.5
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
9068.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
9041.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
8996.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
8978.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
8874.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
8614.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
8600.2
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
8501.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
8354.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
8279.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
8228.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
8112.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
8065.9
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
8034.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
7942.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
7930.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
7909.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
7783.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
7760.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
7727.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
7706.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
7640.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7602.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
7566.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7458.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
7445.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
7395.2
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7353.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
7306.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
7303.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
7254.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
7231.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
7164.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
7116.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
7022.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6979.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6800.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
6785.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6779.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6772.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
6761.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
6563.5
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
6466.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
6459.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
6432.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
6418.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
6411.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
6397.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
6139.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
6137.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
6096.7
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
6059.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
6016.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
6007.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
5974.4
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5904.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5897.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5860.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
5749.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5721.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5712.2
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
5673.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
5664.4
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
5650.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5634.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5497.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5433.1
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
5423.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
5405.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
5319.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
5308.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
5287.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
5278.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
5229.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
5228.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
5211.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
5204.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5165.4
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
5165.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5130.5
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5061.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5052.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
5043.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4987.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
4981.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
4969.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4957.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4954.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4951.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4949.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4872.3
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
4868.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4824.3
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
4787.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4779.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
4733.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4724.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4718.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4709.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4670.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4633.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4492.4
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
4389.9
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
4335.2
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
4320.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
4289.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4175.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
4173.9
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4162.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
4136.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4092.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4063.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4044.6
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
4028.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4025.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3863.4
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3854.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3850.2
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
3837.1
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3739.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3632.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
3619.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
3524.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3499.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3427.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3337.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3318.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3206.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3111.9
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3098.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2963.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2923.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2905.9
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2867.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2799.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2775.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2660.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2629.4
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2577.1
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2515.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2479.9
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2442.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2373.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2348.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2338.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2214.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2198.1
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2194.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2079.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2059.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2015.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1925.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1843.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1786.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1743.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1711.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1700.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1523.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1455.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1034.5
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
996.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
895.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
850.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
551.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL 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
