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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 not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
8091.6
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
22001.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
20791.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
17299.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
16281.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
15215.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
13303.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
12951.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
12478.0
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
12256.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
12075.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
11443.8
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
11198.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
10462.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
10390.1
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
10227.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
9645.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
9493.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
9342.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
9216.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
9158.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
9109.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
8936.3
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
8862.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
8781.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
8671.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
8357.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
8337.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
8218.0
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
8100.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
7901.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
7854.8
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
7845.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
7754.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
7628.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
7625.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
7267.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
7254.9
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
6897.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
6878.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
6221.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
6075.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
6027.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
6022.8
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
5958.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
5857.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
5753.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
5566.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
5283.5
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
5245.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
5221.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
5087.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
4874.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
4834.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
4724.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
4694.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
4500.1
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
4126.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
3980.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
3774.9
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2777.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1510.6
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1163.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1017.5
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4465.5
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
17958.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
15620.2
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
15349.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
14506.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
14365.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
14207.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
12967.6
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
12262.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
11613.2
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
11408.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
11309.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
11300.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
11221.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
11111.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
11110.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
10649.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
10397.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
10272.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
10194.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
10187.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
10166.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
10049.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
9927.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
9912.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
9888.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
9852.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
9715.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
9540.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
9470.6
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
9444.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
9388.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
9388.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
9255.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
9243.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
9110.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
8850.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
8845.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
8786.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
8743.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
8645.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
8580.8
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
8536.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
8432.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
8416.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
8374.3
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
8253.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
8196.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
8140.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
8096.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
8083.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
8064.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
7963.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
7958.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
7885.4
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
7808.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
7806.8
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
7786.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
7775.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
7734.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
7729.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
7686.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
7564.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
7563.7
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
7520.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
7510.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
7476.4
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
7448.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
7371.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
7309.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
7306.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
7297.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
7290.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
7289.1
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
7287.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
7284.3
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
7179.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
7150.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
7139.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
7091.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
7077.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
7059.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
7057.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
7023.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
7013.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
6993.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
6978.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
6927.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
6920.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
6806.6
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
6728.9
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
6724.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
6703.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
6696.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
6678.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
6656.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
6612.0
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
6604.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
6583.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
6572.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
6557.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
6551.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
6540.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
6538.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
6532.9
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
6530.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
6493.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
6490.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
6484.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
6447.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
6444.7
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
6418.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
6372.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
6363.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
6352.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
6327.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
6323.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
6322.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
6313.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
6293.5
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
6264.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
6248.9
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
6208.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
6175.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
6112.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
6089.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
6083.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
6059.0
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
6044.2
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
5950.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
5905.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5887.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
5881.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5868.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
5862.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5839.4
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
5786.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
5729.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
5707.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
5664.1
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
5651.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
5630.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
5569.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
5569.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
5542.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
5535.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
5518.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
5510.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
5506.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5455.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
5408.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5361.0
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
5359.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5333.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5286.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
5280.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5275.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
5271.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5267.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5258.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
5242.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
5240.8
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
5238.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
5201.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
5190.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
5176.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
5161.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
5129.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5121.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5103.6
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5094.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5087.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
5031.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
5014.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4991.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4988.9
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4988.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4981.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4971.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4964.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4960.4
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4954.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4951.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4926.1
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
4891.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
4891.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4843.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4839.9
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4780.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4775.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
4770.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4759.8
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4753.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4748.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
4742.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
4714.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4699.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4688.4
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
4685.4
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
4675.9
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4663.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
4646.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4639.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4614.3
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4611.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4607.5
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4553.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4552.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
4544.6
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
4511.5
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4508.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
4498.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4485.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4451.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
4428.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
4412.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
4409.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
4408.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
4388.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4377.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4368.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4367.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4363.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4351.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
4343.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
4341.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4339.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4320.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
4289.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4275.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4271.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
4250.8
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
4223.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4218.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4215.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
4215.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
4209.5
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4189.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4180.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
4168.8
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
4146.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4138.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4136.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
4134.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
4116.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4110.5
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
4107.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4091.2
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
4086.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4085.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4083.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4062.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4056.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4047.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
4027.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3991.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3989.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3985.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3899.2
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3897.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3896.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3890.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3875.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3846.0
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3832.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3832.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3830.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3784.0
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3774.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3769.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3768.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3755.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3723.4
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3708.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3708.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3703.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3699.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3685.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3684.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3667.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3664.0
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3652.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3630.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3621.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3617.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3605.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
3605.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3603.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3597.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3595.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3591.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3587.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3579.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3557.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3553.0
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3546.8
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3546.7
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
3546.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3506.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3504.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
3497.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3481.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3471.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3465.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3444.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3436.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3427.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3418.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3418.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3417.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3404.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3401.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3391.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3383.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3343.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3341.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3333.9
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3321.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3310.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3305.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3289.5
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3276.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3270.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3256.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3250.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3247.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3237.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3214.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3190.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
3162.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3144.5
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3128.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3126.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3124.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3109.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3052.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3050.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
3042.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
3038.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3028.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3024.7
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3023.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3022.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3019.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3016.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3016.3
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3007.0
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3000.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2993.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2988.0
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2973.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2941.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2930.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2877.2
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2862.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2848.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2822.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2816.6
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2808.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2793.7
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2785.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2772.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2772.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2749.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2719.3
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2716.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2703.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2689.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2683.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2671.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2660.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2659.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2657.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2656.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2653.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2647.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2630.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2629.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2612.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2583.5
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2579.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2567.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2533.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2533.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
2520.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2517.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2513.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2513.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2493.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2487.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2477.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2474.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2471.5
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2469.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2459.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2430.5
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2425.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2403.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2395.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2395.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2380.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2371.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2366.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2364.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
2361.9
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2352.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2309.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2302.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2266.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2262.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2260.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2249.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2233.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2229.0
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2219.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2205.6
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2205.5
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2199.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2197.8
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2189.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2171.1
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2168.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2166.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
2156.8
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2142.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2124.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2112.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2095.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2093.1
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2090.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2004.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2001.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2000.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1998.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1995.2
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1982.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1968.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1961.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1947.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1944.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1943.3
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1940.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1939.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1927.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1914.0
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
1906.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1896.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
1896.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1892.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1888.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1879.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1876.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1846.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1820.2
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1813.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1800.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1798.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1786.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1786.2
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1783.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1779.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1763.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1758.2
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1756.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1733.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1723.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1698.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1697.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1691.6
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1685.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1672.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1655.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1651.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1649.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1628.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1601.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1579.9
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
1555.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1525.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1522.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1514.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1514.3
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1486.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1466.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1452.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1420.0
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1412.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1412.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1406.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1394.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1365.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1343.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1337.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1313.4
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1300.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1249.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1246.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1216.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1214.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
1131.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1123.3
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
1084.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1055.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1054.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
970.2
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
955.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
912.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
893.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
880.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
873.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
861.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
841.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
807.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
715.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
698.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
689.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
564.2
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
389.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
235.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
128.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
83.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4251.8
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
13525.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
9442.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
9402.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
9261.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
8670.2
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
8664.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
8068.3
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
7903.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
7655.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
7531.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
7110.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
7022.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
6934.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
6442.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
6406.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6336.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
6117.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
6068.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
5868.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
5821.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5807.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
5805.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
5594.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
5490.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
5434.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
5414.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
5273.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5240.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5195.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5188.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
5145.2
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
5132.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
5108.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4943.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
4866.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4723.5
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4719.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4671.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4664.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
4634.1
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
4466.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
4320.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4232.9
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
4221.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4207.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4179.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
4176.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4106.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
4080.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
4061.0
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
3982.9
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3978.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3924.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3909.2
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3893.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3828.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3743.1
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3737.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3710.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3687.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3615.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3607.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3492.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3481.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3374.3
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3335.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3213.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
3073.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3013.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2982.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2944.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2936.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2927.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2715.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2689.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2503.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2472.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2440.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2363.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2155.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2109.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2089.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2075.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2053.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2005.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1855.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1698.4
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1683.6
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1647.8
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1552.5
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1531.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1521.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1481.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1319.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1053.4
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1013.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
695.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
502.4
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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4922.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
22086.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
18828.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
17660.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
17595.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
16233.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
15076.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
14982.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
14926.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
13671.6
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
12812.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
12583.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
12496.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
12257.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
11877.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
11580.0
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
11189.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
11032.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
10952.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
10860.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
10607.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
10514.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
10422.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
10358.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
10162.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
9979.6
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
9975.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
9962.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
9927.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
9925.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
9665.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
9573.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
9253.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
9233.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
9228.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
9096.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
9058.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
9042.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
8945.1
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
8881.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
8859.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
8686.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
8469.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
8437.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
8358.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
8305.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
8057.8
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
7957.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
7750.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
7727.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
7376.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
7322.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
7246.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
7206.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
7163.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
7159.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
7154.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
7006.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
7004.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
7001.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
6967.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
6957.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
6927.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
6831.6
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
6825.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6725.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
6683.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
6525.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
6467.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
6407.8
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
6311.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
6206.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
6191.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
6157.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
6129.5
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
6120.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
6098.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
6091.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
6072.0
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
6066.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
6050.6
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
5961.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
5936.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
5927.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
5923.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
5909.4
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
5905.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
5878.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
5856.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
5837.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5804.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
5777.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
5727.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
5716.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5713.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
5677.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5671.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
5582.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
5481.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
5445.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5402.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
5337.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
5290.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5285.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
5195.5
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
5184.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
5125.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
5091.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
5070.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
5062.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
5017.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
4968.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4934.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4893.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
4888.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
4882.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
4873.8
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
4848.3
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4802.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4733.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
4729.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
4701.1
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4681.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
4636.5
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
4613.5
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
4593.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4546.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
4537.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4527.5
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
4470.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4427.9
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
4425.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4402.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
4394.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4373.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4367.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
4283.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
4261.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
4214.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4213.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4207.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
4206.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4203.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
4191.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
4146.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
4144.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
4089.5
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
4072.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4022.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
3994.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3952.4
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3949.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3943.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
3881.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3798.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3645.8
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
3625.2
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3600.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
3526.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3521.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3474.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3468.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3467.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3454.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
3439.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3436.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3416.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
3387.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
3387.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3377.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3351.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3324.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3321.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
3270.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3201.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3184.3
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
3173.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
3154.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3122.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3113.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3094.1
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3092.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3080.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3054.7
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
3047.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
3033.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3024.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2991.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2983.0
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2873.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2818.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2733.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2730.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2724.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2721.8
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2716.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2663.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2638.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2630.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2606.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2587.4
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2583.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2571.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2511.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2509.5
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2492.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2467.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2461.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2458.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2417.2
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2389.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2362.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2353.2
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2337.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2334.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2307.2
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2284.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2269.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2258.4
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2257.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2245.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2239.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2221.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2191.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2167.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2144.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2101.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1985.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1955.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1912.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1910.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1894.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1835.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1818.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1762.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1742.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1721.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1709.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1691.9
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1691.1
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1683.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1673.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1665.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1633.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1612.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1516.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1514.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1478.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1467.9
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1447.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1446.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1441.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1420.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1418.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1316.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1313.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1261.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1232.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
1224.6
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1189.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1187.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1144.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1104.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1078.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1052.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1025.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1009.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1003.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
966.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
871.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
852.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
811.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
796.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
782.8
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
710.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
646.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
595.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
540.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
452.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
411.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
334.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
307.3
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
114.3
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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
