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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND1 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 6.62
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0000074
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.
94%
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.
25%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
20294.1
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
49945.0
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
48629.5
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
47619.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
44850.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
41110.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
40864.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
37864.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
32005.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
30303.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
29704.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
27128.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
26013.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
26005.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
25060.8
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
24974.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
24919.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
24838.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
22160.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
22066.1
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
21536.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
21275.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
20928.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
20799.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
20677.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
20494.7
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
20432.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
20412.8
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
20371.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
20317.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
19819.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
19062.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
18796.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
18315.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
18167.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
17801.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
17687.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
17564.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
17374.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
17098.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
16576.4
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
16549.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
16118.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
15658.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
15353.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
15064.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
14980.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
14723.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
14538.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
13495.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
13438.4
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
12667.7
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
12167.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
12136.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
11735.5
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
11402.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
9878.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
8815.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
8731.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
7910.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
7752.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
6001.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4987.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2997.1
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND1 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 3.29
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.031
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.
59%
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.
66%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
9621.7
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
56986.3
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
35018.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
34954.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
31769.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
28127.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
27718.6
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
27671.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
27313.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
26321.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
25597.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
25192.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
25019.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
24952.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
24906.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
24756.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
24675.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
24377.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
24229.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
24118.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
23582.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
23551.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
23099.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
23021.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
22548.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
22543.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
22443.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
21737.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
21397.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
21313.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
21047.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
20991.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
20169.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
20168.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
19852.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
19678.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
19642.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
19282.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
19105.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
18928.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
18846.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
18809.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
18492.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
18440.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
18345.7
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
18294.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
18186.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
18064.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
18027.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
18025.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
17877.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
17813.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
17433.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
17120.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
17070.4
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
17041.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
16956.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
16828.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
16779.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
16772.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
16758.9
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
16718.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
16612.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
16580.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
16562.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
16445.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
16305.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
16254.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
16212.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
16148.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
15980.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
15953.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
15931.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
15838.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
15742.9
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
15541.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
15492.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
15450.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
15421.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
15414.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
15408.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
15363.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
15301.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
15283.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
15243.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
15151.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
15144.4
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
14989.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
14870.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
14859.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
14761.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
14749.1
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
14741.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
14718.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
14704.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
14575.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
14535.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
14510.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
14249.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
14226.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
14133.1
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
14086.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
14081.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
14076.1
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
14070.6
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
14034.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
13960.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
13908.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
13877.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
13864.8
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
13799.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
13615.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
13601.6
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
13486.3
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
13434.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
13370.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
13200.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
13120.5
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
13078.1
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
13050.6
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
13020.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
12984.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
12982.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
12894.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
12846.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
12838.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
12738.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
12720.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
12631.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
12540.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
12533.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
12474.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
12449.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
12424.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
12354.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
12316.1
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
12181.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
12130.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
12072.5
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
12022.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
12019.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
11924.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
11912.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
11902.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
11879.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
11796.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
11710.8
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
11700.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
11618.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
11605.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
11568.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
11532.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
11499.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
11369.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
11363.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
11356.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
11337.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
11300.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
11008.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
11003.0
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
10982.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
10959.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
10935.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
10924.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
10874.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
10824.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
10733.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
10731.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
10723.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
10720.5
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
10604.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
10577.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
10544.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
10523.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10495.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
10487.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
10477.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
10453.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
10426.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
10395.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
10321.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
10307.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
10267.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
10176.8
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
10176.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
10174.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
10154.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
10132.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
10131.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
10104.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
10100.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
10079.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
10034.0
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
10019.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
9968.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
9966.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9784.1
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
9777.9
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
9715.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9715.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
9689.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
9680.0
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
9652.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
9610.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
9551.8
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
9549.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
9519.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
9451.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
9422.3
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
9396.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
9377.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
9323.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
9298.6
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
9253.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
9161.3
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
9126.5
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
9122.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
9097.0
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
9075.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
9030.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8962.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
8843.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
8831.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8828.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
8790.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8768.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
8742.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8722.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
8673.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
8650.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
8649.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
8625.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
8601.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
8599.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
8597.0
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
8594.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
8578.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
8534.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
8465.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8456.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
8434.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
8388.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
8386.5
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
8343.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
8319.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
8309.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
8259.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
8237.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
8214.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
8153.9
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
8133.9
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
8128.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
8119.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
8096.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
8092.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
8091.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
8041.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
7977.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
7971.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
7937.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
7927.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
7890.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
7888.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
7867.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
7855.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7850.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
7832.1
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
7822.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
7795.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
7791.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
7778.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
7767.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
7746.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
7740.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
7724.8
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
7688.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
7668.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
7642.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
7614.5
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
7590.1
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7584.3
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
7542.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
7538.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
7520.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
7518.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7515.7
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
7392.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
7370.3
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7302.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7298.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
7275.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
7269.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
7258.0
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
7252.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
7241.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7199.5
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
7185.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
7178.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7142.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
7138.3
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
7120.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
7105.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
7098.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7092.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
7082.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7062.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
7055.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
7045.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
7023.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6967.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6966.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
6938.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
6934.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6911.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6903.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
6898.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6873.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
6817.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
6812.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6799.6
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
6795.6
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
6782.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
6751.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
6748.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
6698.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6686.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
6650.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
6647.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
6612.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
6599.1
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
6595.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6591.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
6565.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
6543.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
6538.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
6528.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
6516.4
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6512.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
6495.3
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
6482.8
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6468.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6453.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6451.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6445.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
6388.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
6384.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6352.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
6332.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
6255.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
6246.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
6245.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
6223.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6178.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
6175.8
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
6167.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
6136.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
6133.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6106.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6089.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6061.3
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
6042.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
6037.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
6015.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
5995.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5994.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5925.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
5907.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5899.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
5893.7
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5891.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
5803.0
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
5751.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
5733.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
5721.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
5680.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5664.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
5651.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5635.9
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
5618.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5618.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
5590.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
5587.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
5587.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
5583.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
5580.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5538.6
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5513.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5501.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
5479.5
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5477.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
5408.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
5384.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5360.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5354.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
5324.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5322.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
5296.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
5274.6
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
5237.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5232.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5214.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5201.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
5201.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5186.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5182.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5171.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
5168.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
5167.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
5136.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5129.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
5093.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5071.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5068.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4989.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4982.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4972.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4871.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4858.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4842.5
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4838.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4820.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4813.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4741.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
4707.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4688.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4682.2
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4663.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4657.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
4636.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4616.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
4606.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4562.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
4560.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4544.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4538.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4487.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4462.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4382.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4368.3
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4367.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4359.1
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4345.4
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4333.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4332.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
4317.5
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4305.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
4289.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
4289.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4210.7
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
4196.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4176.2
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4150.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
4110.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
4021.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4015.1
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4009.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4000.8
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
3971.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3959.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
3921.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3900.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3885.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3869.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3846.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3824.0
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3812.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3795.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3758.2
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3714.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3709.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3708.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3689.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3676.8
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3645.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3636.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3573.8
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3560.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3558.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3551.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3537.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3523.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3442.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3402.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3366.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3301.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3268.1
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3241.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3218.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3202.9
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3178.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3177.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3156.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3142.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2969.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2955.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2954.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2941.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2813.3
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2810.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2695.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2640.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2582.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2577.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2511.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
2451.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2427.3
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2420.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2277.1
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2041.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2020.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2019.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
1908.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1868.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1390.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1350.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1334.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1252.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1133.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
950.8
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
449.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
33.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND1 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.15
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.14
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.
96%
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.
74%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7660.1
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
26780.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
22622.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
21853.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
21654.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
19297.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
15912.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
15177.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
14390.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
14232.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
13959.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
12604.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
12218.7
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
11869.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
10918.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
10878.7
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
10818.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
10764.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
10755.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
10666.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
10023.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
9730.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
9396.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
9210.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
8961.0
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
8924.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
8903.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
8829.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
8796.2
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
8783.3
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
8673.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
8645.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
8383.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
8338.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8286.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
8197.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
8018.8
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
7948.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
7894.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
7805.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7794.4
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
7766.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
7756.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
7434.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
7380.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
7323.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
7264.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
7256.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
6772.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6712.4
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6620.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
6401.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
6146.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6124.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
6086.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
6024.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6020.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
6004.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
5962.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5869.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
5760.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
5724.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
5713.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
5657.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
5625.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5580.6
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5468.9
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5439.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5415.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5329.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
5266.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
5138.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
5066.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4986.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
4962.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4853.6
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4829.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4692.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4582.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4540.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4492.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4464.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4362.6
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4140.1
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4123.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
4092.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
3962.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3957.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3831.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3692.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3619.9
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3619.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3371.7
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3227.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2914.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2683.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1987.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1705.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
763.9
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.11
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.022
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.
78%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
62%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7581.8
Number of samples
282
Samples
Sample
Description
TPM
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
36520.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
34564.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
29349.6
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
24911.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
23681.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
21699.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
21565.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
21092.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
20529.6
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
20308.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
20212.9
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
19276.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
19081.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
19011.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
18967.3
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
18754.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
18162.0
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
17783.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
17107.6
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
16884.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
16210.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
15717.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
15652.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
15119.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
15112.1
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
15064.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
14759.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
14743.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
14531.1
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
14471.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
14197.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
13562.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
13507.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
13424.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
13299.1
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
13266.0
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
12697.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
12610.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
12485.6
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
12298.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
12159.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
12101.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
12095.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
12014.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
12006.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
11966.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
11958.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
11941.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
11897.3
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
11687.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
11634.8
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
11622.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
11552.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
11397.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
11302.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
11032.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
10913.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
10905.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
10872.2
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
10811.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
10734.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
10597.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
10476.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
10355.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
10196.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
10158.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
10127.8
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
10037.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
9953.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
9793.2
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
9778.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
9770.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
9625.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
9378.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
9374.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
9361.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
9297.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
9281.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
9258.5
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
9256.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
9203.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
9191.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
9185.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
9148.1
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
9049.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
9032.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
9013.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
8959.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
8902.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
8900.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
8899.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
8818.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
8778.8
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
8761.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
8735.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
8690.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
8443.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
8423.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
8415.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
8393.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
8361.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
8223.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
8182.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
8065.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
8006.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
7967.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
7960.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
7930.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
7793.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
7737.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
7723.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
7715.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
7709.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
7593.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
7568.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
7537.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
7441.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
7392.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
7266.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
7255.4
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
7188.8
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
7162.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
7126.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
7009.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
7005.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
6998.4
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
6972.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
6949.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
6763.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
6667.5
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
6613.1
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
6466.8
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
6458.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
6436.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
6419.9
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
6353.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
6260.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
6236.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
6137.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
6132.9
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
6119.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
6103.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
6076.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5989.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
5980.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5923.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
5906.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
5893.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5800.4
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
5692.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
5668.3
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
5657.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5609.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5595.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
5579.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
5480.1
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
5466.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5365.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
5364.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5329.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
5312.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
5285.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5254.0
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
5243.0
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
5120.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
5092.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
5082.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
5069.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5021.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
5001.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4968.4
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
4954.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4923.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4917.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
4838.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4783.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4725.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4692.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4690.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4659.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
4653.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
4586.5
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4531.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4518.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
4486.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4484.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
4414.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
4412.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
4379.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
4379.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4357.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
4334.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
4320.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4133.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4116.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4104.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4094.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4069.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4067.1
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4060.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4059.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
4052.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4046.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4033.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4027.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
4012.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4002.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
3993.5
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3983.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
3940.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3897.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
3863.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
3834.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3781.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
3719.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3702.0
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3694.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
3689.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
3679.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3657.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3610.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
3608.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3529.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
3521.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3468.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
3412.9
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3409.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3405.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
3334.0
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3311.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3258.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3250.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
3227.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3220.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3119.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3083.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2985.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2971.9
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2954.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2912.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2858.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2809.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2797.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2718.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2689.8
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2585.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2426.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2418.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2409.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2376.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2360.9
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2341.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2335.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2304.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2224.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2165.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2082.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2080.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2011.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1889.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1885.4
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1865.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1816.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1810.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1785.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1636.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1609.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1558.0
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1514.4
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1446.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1444.0
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1374.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1327.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1317.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1304.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1228.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1151.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
847.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
842.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
702.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
660.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
441.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.