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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-ND6 is not prognostic 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
14133.0
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
37809.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
35456.0
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
34583.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
31166.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
28519.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
23514.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
23399.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
22455.9
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
22306.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
22142.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
21821.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
21805.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
20686.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
19550.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
18486.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
18408.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
18292.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
17947.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
17743.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
16268.0
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
15789.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
15780.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
15602.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
15365.8
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
15356.9
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
14802.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
14561.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
14518.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
14343.2
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
14236.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
13960.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
13743.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
13411.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
12971.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
12897.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
12624.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
12477.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
11728.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
11634.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
11592.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
11437.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
11319.8
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
10449.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
10329.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
9937.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
9687.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
9367.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
8336.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
8070.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
7384.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
7256.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
7015.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
6803.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
6550.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
5804.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
5463.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
5040.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
4369.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
4050.7
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1967.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1655.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1420.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
971.8
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-ND6 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
9477.7
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
41771.9
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
38591.6
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
33928.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
33567.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
32138.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
31949.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
31021.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
29954.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
29879.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
29061.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
24680.3
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
24518.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
24437.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
24265.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
24111.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
23673.4
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
23198.5
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
22742.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
22618.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
22458.8
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
22330.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
22228.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
22169.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
21944.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
21879.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
21805.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
21475.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
21142.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
21079.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
20952.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
20877.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
20731.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
20716.5
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
20507.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
20461.2
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
20290.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
20289.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
20055.7
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
20049.2
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
19960.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
19642.6
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
19573.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
19363.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
19298.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
19203.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
18757.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
18719.5
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
18611.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
18603.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
18341.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
18322.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
18197.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
18129.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
18097.4
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
17876.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
17685.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
17602.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
17465.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
17460.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
17427.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
17235.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
17209.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
17119.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
16950.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
16866.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
16849.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
16790.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
16711.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
16613.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
16437.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
16222.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
16097.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
16078.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
16055.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
15910.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
15823.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
15741.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
15537.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
15507.4
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
15461.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
15390.6
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
15298.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
15279.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
15259.3
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
15242.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
15144.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
15107.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
14910.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
14910.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
14835.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
14821.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
14800.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
14557.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
14463.8
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
14388.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
14342.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
14154.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
14143.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
14049.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
14035.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
14016.2
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
13961.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
13913.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
13889.9
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
13876.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
13855.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
13850.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
13755.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
13709.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
13586.9
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
13583.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
13530.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13458.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
13440.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
13416.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
13399.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
13382.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
13288.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
13269.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
13260.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
13206.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
13184.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
13123.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
13036.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
12986.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
12968.3
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
12905.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
12809.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
12743.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
12741.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
12730.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
12681.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
12666.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
12654.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
12547.8
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
12540.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
12518.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
12412.2
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
12379.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
12331.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
12323.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
12317.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
12294.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
12261.0
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
12111.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
12057.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
12018.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
11993.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
11987.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
11973.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
11934.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
11907.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
11902.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
11871.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
11718.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
11479.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
11397.7
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
11397.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
11303.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
11160.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
11148.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
11132.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
11077.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
11041.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
10956.6
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
10917.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
10875.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
10859.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
10812.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
10779.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
10763.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
10692.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
10652.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
10640.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
10620.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
10611.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
10590.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
10548.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
10515.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
10514.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
10481.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
10461.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
10457.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
10453.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
10399.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
10338.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
10308.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
10272.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
10243.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
10192.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
10175.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
10172.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
10146.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
10138.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
10089.5
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
10032.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
10008.1
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
9993.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
9973.5
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
9859.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
9853.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
9852.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
9811.2
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
9788.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
9786.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
9783.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
9636.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
9407.6
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
9367.0
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
9364.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
9304.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
9282.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
9280.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
9280.7
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
9221.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
9198.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
9140.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
9131.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9100.3
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9084.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
9062.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
9053.4
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
9048.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
9022.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
9015.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
9005.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
8977.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
8947.0
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
8929.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
8872.1
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
8860.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
8847.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
8847.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
8803.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8791.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
8790.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8774.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
8754.3
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
8747.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8623.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
8586.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
8535.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
8521.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
8487.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
8473.1
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
8466.2
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
8443.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8395.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
8381.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
8357.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
8323.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
8313.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
8311.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
8310.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
8304.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
8208.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
8195.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
8156.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
8091.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
8026.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
8020.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
8000.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
7934.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
7896.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
7884.6
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
7880.4
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
7871.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
7840.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
7834.3
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
7779.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
7766.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7736.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7732.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
7730.7
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
7678.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
7676.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
7638.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
7621.7
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
7411.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
7405.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
7387.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
7327.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
7308.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
7303.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
7207.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
7126.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
7050.6
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7039.4
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
7007.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
6967.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6967.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
6958.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6953.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6948.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
6928.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
6898.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
6869.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
6862.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6857.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
6795.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
6774.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6743.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
6739.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
6707.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
6690.2
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
6676.3
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
6613.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6603.4
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
6592.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
6589.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
6564.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
6552.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6538.1
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
6503.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6496.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6459.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
6459.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6435.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
6432.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
6428.0
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
6426.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
6417.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
6410.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6367.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
6278.3
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
6277.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6237.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
6233.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6225.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
6203.4
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6181.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
6179.9
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
6161.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
6152.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6137.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6110.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
6107.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6101.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
6097.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
6087.4
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
6067.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
6062.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
6059.4
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
6055.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
6048.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
6032.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
6000.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5999.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5943.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
5935.3
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
5925.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
5875.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5826.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5826.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
5809.0
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5789.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5788.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
5758.2
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5732.1
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5718.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
5683.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5680.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
5665.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5657.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5643.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
5636.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
5603.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5592.2
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5588.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
5529.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
5525.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5476.4
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
5460.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5438.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
5432.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
5398.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5381.3
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5352.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5343.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5342.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
5308.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
5304.2
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5303.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
5293.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
5278.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5218.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
5158.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5128.4
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5060.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
5042.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4987.2
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4981.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4940.7
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4912.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4898.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4890.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4874.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4853.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4798.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4773.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4770.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
4666.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4664.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4653.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
4644.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
4614.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4607.9
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4587.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
4576.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4455.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4445.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4426.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4400.7
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4397.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
4291.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4277.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4274.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
4270.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4203.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4184.5
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4137.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4093.0
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4091.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3977.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3977.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3917.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3821.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3809.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3809.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3778.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
3769.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3763.6
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3760.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3730.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3715.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3707.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3630.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3597.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3577.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3547.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3478.7
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3426.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3424.2
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3413.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3393.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3369.1
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3332.5
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3323.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3314.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3265.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3261.5
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3223.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
3196.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3194.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3183.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3177.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3096.3
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3066.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3052.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
3045.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3021.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
2989.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2973.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2966.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2928.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2916.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2830.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2830.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2818.9
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2817.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2799.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2790.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2772.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2768.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2745.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2726.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2720.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2653.8
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2600.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2591.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2585.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2567.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2544.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2530.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2522.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2504.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2493.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2455.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
2443.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2407.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2334.6
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2255.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2234.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2184.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2162.2
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2124.3
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2116.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2051.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1978.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1881.8
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1828.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1823.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1767.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1732.2
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1701.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1693.4
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1665.1
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1607.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1374.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1225.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1192.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1171.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1130.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
925.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
865.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
752.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
742.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
493.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
246.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
81.8
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-ND6 is potential prognostic, high expression is favorable 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
7041.8
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
22492.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
17504.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
16743.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
15847.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
15774.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
14413.7
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
14019.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
13765.0
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
13327.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
13189.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
13089.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
13042.7
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
12731.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
12380.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
11845.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
10818.7
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
10744.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
10619.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
10579.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
10355.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
10249.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
10197.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
10175.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
9893.7
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
9796.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
9773.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
9242.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
9013.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8968.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
8692.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
8677.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
8660.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
8656.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
8621.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
8564.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
8303.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
8001.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
7596.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
7421.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
7216.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
7071.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
7035.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7003.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
6917.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6916.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6870.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6812.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
6767.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6723.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6633.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
6504.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
6504.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
6502.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
6331.4
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6233.6
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
5904.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5815.7
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
5802.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5738.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5648.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
5430.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
5396.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5336.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
5326.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4937.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4854.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4658.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
4533.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4494.5
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
4098.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4089.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
4038.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3877.2
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3693.0
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3381.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3336.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3285.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3163.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3138.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3123.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3116.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3088.0
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2981.0
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2879.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2628.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2611.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2569.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2431.8
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2346.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2326.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2133.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1894.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1868.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1632.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1371.4
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1206.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1169.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
524.6
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-ND6 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
9055.4
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
48854.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
33541.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
29824.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
28949.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
28645.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
28271.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
27326.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
25070.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
24946.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
23924.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
22818.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
22162.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
22066.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
21225.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
21215.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
20876.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
20574.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
19737.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
19687.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
19480.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
19407.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
19400.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
19135.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
19073.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
18715.5
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
18491.4
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
18303.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
18112.9
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
18008.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
17883.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
17857.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
17526.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
16919.7
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
16738.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
16679.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
16573.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
16487.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
16126.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
16067.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
16059.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
15835.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
15825.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
15786.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
15756.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
15253.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
15064.7
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
14917.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
14877.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
14671.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
14380.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
14184.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
14119.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
13608.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
13573.7
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
13520.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
13366.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
13362.5
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
13305.1
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
13259.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
13220.7
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
12908.9
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
12875.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
12873.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
12849.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
12716.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
12627.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
12548.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
12525.9
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
12381.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
12366.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
12357.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
12316.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
12095.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
11930.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
11915.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
11864.8
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
11817.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
11672.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
11664.8
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
11599.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
11537.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
11409.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
11319.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
11313.8
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
11304.5
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
11235.6
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
11198.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
11057.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
11003.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
10844.0
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
10838.2
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
10737.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
10686.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
10578.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
10487.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
10402.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
10259.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
10225.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
10174.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
10013.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
9968.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
9918.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
9871.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
9838.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
9702.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
9638.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
9607.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
9587.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
9542.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
9471.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
9444.5
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
9439.4
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
9290.3
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
9130.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
9120.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
9061.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
9015.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
9001.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
8840.5
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
8815.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
8782.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
8621.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
8571.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
8398.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
8326.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
8321.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
8320.7
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
8280.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
8212.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
8183.7
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
8171.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
8085.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
8014.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
7970.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
7959.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
7928.3
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7901.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
7851.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
7783.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
7782.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
7637.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
7601.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
7416.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
7320.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
7267.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
7246.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
7242.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
7242.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
7058.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
7043.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
6891.8
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
6890.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
6883.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
6854.5
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
6806.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
6797.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
6769.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
6699.7
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
6696.9
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6691.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
6686.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
6640.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
6523.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
6485.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
6477.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
6349.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
6306.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
6282.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
6230.1
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
6144.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
6118.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
6093.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
6075.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
6056.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
6031.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
5940.9
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
5910.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
5866.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
5841.4
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5751.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5702.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
5700.5
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5687.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5678.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
5543.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
5526.2
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
5363.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
5356.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5312.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5286.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
5216.5
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
5090.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
5071.4
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
4854.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
4851.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
4844.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
4736.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4732.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4679.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
4635.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4629.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4625.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
4523.0
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
4458.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4437.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
4420.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
4411.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4351.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
4343.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4328.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4325.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4322.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4293.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4175.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4076.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
4067.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3992.7
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3991.9
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
3791.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3790.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3726.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3556.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3548.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3483.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3477.5
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3199.6
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3169.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3164.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3148.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3141.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3104.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2969.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2961.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2879.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2865.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2786.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
2744.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2679.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2651.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2642.2
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2641.2
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2597.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2595.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2584.6
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2581.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2568.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2535.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2467.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2460.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2430.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
2406.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2374.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2296.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2179.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
2178.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2088.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1968.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1930.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1896.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1833.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1823.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1780.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1742.2
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1676.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1585.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1578.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1568.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
1514.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1513.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1391.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1221.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1211.8
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1132.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1132.0
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1035.5
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
910.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
890.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
637.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
538.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
462.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
363.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
344.0
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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.
The Human Protein Atlas project is funded
