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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-ND5 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.
0.00065
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.
91%
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
6927.2
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
18321.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
17312.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
16047.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
14845.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
13959.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
12197.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
11619.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
11197.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
9716.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
9454.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
9419.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
9317.9
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
9113.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
8994.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
8942.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
8790.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
8500.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
8274.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
7879.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
7790.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
7674.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
7390.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
7371.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
7211.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
7157.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
7046.2
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
7017.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
6904.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
6887.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
6873.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
6693.2
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
6563.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
6526.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
6517.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
6302.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
6232.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
6207.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
6124.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
5992.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
5598.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
5343.5
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
5326.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
5284.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
5035.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
4887.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
4631.5
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
4623.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
4575.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
4503.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
4271.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
4164.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
4114.4
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
3977.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
3848.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
3645.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
3608.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
3532.1
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
3403.6
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
3120.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2444.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1135.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
987.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
850.4
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-ND5 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.
0.015
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.
65%
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.
58%
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
3726.7
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
16431.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
13868.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
13547.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
12318.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
12228.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
12095.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
10708.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
10265.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
10013.2
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
9975.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
9882.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
9786.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
9575.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
9529.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
9489.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
9374.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
9209.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
9068.3
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
8875.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
8856.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
8644.8
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
8485.1
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
8478.0
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
8452.6
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
8342.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
8319.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
8281.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
8195.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
8013.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
8005.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
7941.5
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
7916.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
7872.4
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
7740.9
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
7673.0
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
7534.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
7357.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
7344.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
7337.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
7247.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
7168.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
7045.4
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
7036.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
7032.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
6986.4
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
6975.4
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
6911.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
6875.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
6864.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
6803.1
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
6788.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
6653.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
6647.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
6612.6
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
6574.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
6572.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
6527.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
6517.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
6512.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
6482.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
6460.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
6415.9
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
6345.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
6323.4
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
6292.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
6284.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
6259.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
6242.9
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
6204.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
6186.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
6182.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
6151.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
6133.7
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
6060.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
6049.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
6037.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
5993.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
5956.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
5936.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
5905.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
5904.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
5896.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
5870.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
5813.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
5784.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
5737.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
5718.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
5691.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
5687.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
5675.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
5644.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
5637.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
5633.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
5608.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5607.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
5590.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
5582.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5566.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
5553.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5533.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
5519.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5457.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
5447.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
5444.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
5431.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
5429.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5399.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
5386.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
5372.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
5362.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
5341.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
5327.9
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
5321.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
5295.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
5262.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
5246.4
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
5196.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
5196.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5191.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
5178.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
5136.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
5112.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5103.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
5096.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
5070.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5029.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
4949.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
4935.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
4929.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
4887.3
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4884.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4878.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4834.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4823.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4790.1
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
4788.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4754.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
4744.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4741.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4712.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
4657.6
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
4656.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4646.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4623.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4607.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
4594.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4556.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
4525.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
4513.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
4503.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4496.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
4491.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4483.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4459.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
4448.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
4448.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4446.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
4416.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4391.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4382.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
4365.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
4364.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
4329.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4323.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4314.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4308.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
4292.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4238.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4238.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4222.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
4200.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4189.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4185.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4169.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4155.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4143.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4079.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4071.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
4060.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4037.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4037.4
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
4035.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4031.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4024.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4009.9
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4006.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3989.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3974.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3963.8
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3946.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3914.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3911.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3911.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
3906.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
3892.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3887.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
3871.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3867.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3841.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3833.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
3824.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3808.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3796.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3778.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3777.5
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3762.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3755.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3735.4
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3721.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3697.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3689.6
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3682.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
3643.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3637.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3629.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3622.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3594.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3589.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
3587.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3575.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3572.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
3564.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3563.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3546.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3542.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3536.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3536.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3536.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3534.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3523.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3499.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3471.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3449.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3441.1
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3435.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
3428.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3413.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3412.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3399.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3393.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3392.5
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
3392.1
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3391.4
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3387.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3361.0
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3338.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3337.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3326.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3313.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3307.2
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3305.5
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3298.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3298.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3296.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3294.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3276.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3274.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3250.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3237.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3227.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3223.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3214.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3203.5
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3202.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3199.4
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3191.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3186.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3185.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3171.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3166.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3132.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3107.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3095.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3083.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
3079.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3076.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3068.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3062.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3061.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3034.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3029.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3028.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3017.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3015.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3004.2
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2996.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2986.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
2979.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2976.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2967.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
2956.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2954.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2949.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2925.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2915.2
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2909.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2909.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2892.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2889.1
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2882.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2874.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2866.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
2864.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2858.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2857.9
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2843.4
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2842.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2833.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2824.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2821.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2817.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2809.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2809.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2802.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2794.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2792.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2788.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2781.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2755.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2739.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2734.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
2727.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2715.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2698.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2672.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2657.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2652.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2651.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2640.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2597.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2584.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2572.1
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2571.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2569.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2568.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2555.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
2555.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2523.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2510.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2506.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2506.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2495.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2493.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2479.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2471.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2465.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2464.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2453.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2437.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2389.7
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2372.6
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2346.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2338.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2335.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2335.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2331.6
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2315.8
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2292.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2288.4
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2286.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2274.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2268.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2254.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2245.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2239.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2229.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2217.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2211.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2204.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2190.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2190.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2185.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2182.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2173.5
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2164.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2146.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2140.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
2140.7
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2131.8
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2128.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2113.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2108.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2104.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2095.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2094.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2092.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2080.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2075.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2069.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2068.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2063.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2043.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2031.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2026.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2023.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2019.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2013.5
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1992.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1959.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1950.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1946.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1943.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1939.6
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1931.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1918.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1876.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1863.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1858.0
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
1854.6
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1853.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
1840.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1839.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
1838.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1824.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1824.5
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1823.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1810.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1804.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1801.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1786.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1786.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1784.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
1782.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1781.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1781.4
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1774.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
1718.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1713.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1708.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1704.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1695.3
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1645.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1638.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1638.4
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1629.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1622.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1611.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1610.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1602.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1598.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1589.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1584.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1583.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1583.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
1582.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
1580.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1569.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1569.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1547.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1546.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1541.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1533.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1508.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1502.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1489.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1476.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1472.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1472.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1459.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1443.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1441.2
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1441.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1430.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1416.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1402.8
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1400.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1391.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1388.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1384.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1384.0
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1370.7
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1361.2
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1360.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1337.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1328.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1315.8
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
1289.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1284.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1275.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1237.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1218.2
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1216.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1207.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1188.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1185.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1156.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1133.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1131.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1131.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1120.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1115.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1092.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1081.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1069.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1044.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1030.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
976.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
943.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
905.9
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
898.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
895.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
878.2
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
837.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
816.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
791.9
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
743.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
726.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
717.1
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
711.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
705.8
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
668.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
603.5
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
586.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
585.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
561.0
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
452.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
324.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
190.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
89.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
61.4
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-ND5 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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.
0.00027
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.
90%
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.
49%
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
3506.8
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
11301.0
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
8331.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
7735.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
7661.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
7494.1
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
7134.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
6783.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
6629.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
6487.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
6296.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
6292.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
5906.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
5748.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
5363.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5302.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
5172.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
5162.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
5071.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
4815.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
4815.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
4779.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
4737.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4638.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
4637.5
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
4525.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
4500.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
4390.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4326.3
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4280.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4206.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
4197.9
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4181.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4079.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4022.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3994.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3957.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3936.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3916.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3776.8
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3758.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3655.1
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3638.8
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3550.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
3550.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3419.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3409.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3391.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3362.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3355.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3298.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3256.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3230.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
3200.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3198.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3144.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3140.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3058.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3043.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2999.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2923.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2919.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2902.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2834.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2760.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2720.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2676.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2639.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2540.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2429.3
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2424.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2384.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2381.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2297.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2232.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2214.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2011.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2006.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1952.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1852.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1718.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1715.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1688.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1635.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1613.9
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1610.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1536.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1392.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1351.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1299.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1259.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1246.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1230.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1192.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1019.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
894.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
803.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
544.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
406.6
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND5 is potential prognostic, high expression is favorable 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.
0.00053
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.
79%
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.
56%
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
4023.2
Number of samples
282
Samples
Sample
Description
TPM
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
17443.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
16978.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
13585.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
13522.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
13057.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
12869.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
12113.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
11530.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
10874.5
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
10144.7
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
10042.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
9643.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
9575.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
9528.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
9422.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
9228.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
9119.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
9071.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
8951.8
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
8849.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
8808.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
8644.9
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
8609.4
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
8302.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
8200.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
8192.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
8115.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
8110.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
8066.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
7875.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
7869.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
7831.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
7801.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
7706.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
7567.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
7541.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
7487.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
7465.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
7374.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
7215.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
7197.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
7036.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
6676.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
6661.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
6503.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
6497.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
6399.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
6287.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
6266.9
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
6139.5
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
5996.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
5910.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
5904.7
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
5897.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5852.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
5787.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
5699.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
5654.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
5651.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
5565.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
5527.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
5519.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
5466.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
5449.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
5337.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
5322.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
5310.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
5258.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
5253.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
5228.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
5183.1
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
5180.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
5157.7
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
5146.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
5139.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
5118.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
5111.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
5083.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
5073.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
5071.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
4967.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
4955.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4885.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
4879.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
4879.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
4865.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4858.7
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4836.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4831.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4827.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
4772.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4690.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
4579.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
4564.7
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
4538.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4520.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
4510.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4452.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4390.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
4347.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
4339.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
4328.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
4319.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4305.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
4302.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
4301.0
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4294.8
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
4269.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4242.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
4179.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4130.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4089.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
4074.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
4050.7
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4039.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4039.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4013.8
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
3977.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3957.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
3904.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
3889.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
3871.7
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3849.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3817.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3808.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3801.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
3796.5
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3791.9
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3769.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
3706.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3681.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3631.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3610.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
3600.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3590.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3560.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3553.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
3538.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3536.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
3514.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3503.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3475.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
3471.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3454.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3373.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
3372.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3362.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3361.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3254.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3122.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3108.5
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3095.2
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3088.7
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3025.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2966.4
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2955.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2931.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2927.4
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2924.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2923.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2917.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2897.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
2883.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2877.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2821.7
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2806.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2773.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2758.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2717.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2715.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2705.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2703.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2680.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2662.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2626.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
2596.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2558.7
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2523.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2503.0
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2484.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2470.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2467.8
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2449.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2437.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2417.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2414.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2393.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2331.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2304.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
2298.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2291.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2280.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2268.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2232.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2220.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2183.2
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2178.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2125.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2123.1
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2096.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2093.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2085.7
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2083.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2053.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2045.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2007.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1991.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1968.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1948.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1942.9
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1922.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1919.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1909.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1906.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1906.2
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1903.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1879.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1851.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1819.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1815.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1806.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1774.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1747.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1730.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
1720.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1715.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1667.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1664.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1617.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1579.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1532.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1513.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1500.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1434.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1433.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1432.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1407.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1372.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1350.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1350.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1321.9
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1309.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1303.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1286.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1270.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1253.3
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1229.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1224.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1212.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1171.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1168.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1136.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1102.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1094.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1063.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1039.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1009.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
977.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
969.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
934.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
913.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
883.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
859.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
853.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
828.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
772.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
744.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
732.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
730.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
664.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
646.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
638.4
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
614.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
583.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
509.8
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
416.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
384.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
367.6
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
336.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
260.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
253.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
91.4
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
