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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-CO3 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
39075.0
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
81675.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
70103.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
68758.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
67590.1
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
66854.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
66660.5
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
66171.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
66015.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
65211.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
63153.0
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
62307.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
60392.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
59578.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
56240.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
55272.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
54974.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
53475.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
51710.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
50185.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
50159.1
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
48775.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
46657.3
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
46187.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
45936.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
45686.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
44776.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
42688.4
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
42283.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
40648.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
40439.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
39391.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
39209.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
37536.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
37115.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
36137.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
34772.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
34013.8
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
32684.8
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
32408.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
32054.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
31753.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
31102.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
29716.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
27966.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
27633.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
26728.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
24428.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
20743.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
20679.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
20648.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
20552.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
20304.7
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
18789.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
18778.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
17407.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
16993.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
16676.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
16432.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
14477.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
12800.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
12081.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
8825.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
8812.1
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 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 TPM
20619.0
Number of samples
521
Samples
Sample
Description
TPM
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
85038.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
71845.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
70802.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
68844.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
66652.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
66398.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
63247.0
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
62973.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
58685.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
56533.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
56093.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
54105.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
52954.3
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
52491.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
51923.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
51865.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
50686.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
50197.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
50167.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
50072.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
49950.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
47841.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
47689.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
47593.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
47278.1
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
46676.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
45468.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
45338.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
44845.8
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
44811.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
44684.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
44391.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
44221.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
43728.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
43367.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
42858.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
42840.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
42819.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
41892.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
41742.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
41332.3
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
41035.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
40426.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
39329.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
39166.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
38981.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
38756.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
37931.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
37627.0
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
37458.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
37436.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
37395.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
37040.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
36979.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
36517.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
36341.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
36279.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
36248.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
36179.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
36158.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
35983.0
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
35777.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
35692.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
35587.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
35548.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
35273.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
35219.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
35180.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
34832.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
34358.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
34024.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
33879.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
33795.2
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
33690.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
33247.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
33185.9
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
32809.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
32754.4
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
32445.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
32291.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
32140.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
32063.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
31899.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
31700.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
31153.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
31134.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
30929.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
30892.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
30862.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
30646.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
30435.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
30417.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
30302.1
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
29987.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
29883.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
29651.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
29645.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
29616.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
29575.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
29402.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
29365.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
29344.4
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
29277.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
29115.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
29112.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
28780.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
28586.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
28547.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
28542.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
28528.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
28302.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
28142.5
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
27980.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
27957.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
27903.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
27825.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
27810.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
27569.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
27548.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
27261.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
26921.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
26885.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
26823.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
26678.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
26656.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
26628.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
26299.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
26234.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
26226.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
26102.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
25963.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
25823.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
25747.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
25553.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
25461.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
25339.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
25337.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
25303.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
25282.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
24997.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
24799.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
24775.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
24772.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
24669.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
24368.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
24358.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
24214.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
24007.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
23900.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
23888.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
23464.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
23389.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
23278.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
23242.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
23224.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
23201.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
23152.9
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
22994.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
22918.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
22856.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
22808.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
22615.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
22579.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
22475.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
22452.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
22397.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
22295.7
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
21882.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
21879.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
21704.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
21701.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
21581.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
21564.2
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
21501.7
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
21500.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
21341.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
21291.0
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
21140.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
21088.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
21034.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
20916.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
20879.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
20864.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
20810.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
20781.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
20642.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
20617.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
20578.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
20503.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
20389.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
20333.2
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
20224.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
20197.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
20109.1
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
20088.1
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
20052.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
20051.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
19950.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
19835.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
19820.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
19794.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
19773.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
19749.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
19695.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
19691.0
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
19574.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
19567.7
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
19513.4
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
19390.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
19377.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
19339.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
19323.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
19254.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
19229.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
19086.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
19076.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
19042.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
19042.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
19000.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
18962.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
18924.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
18890.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
18791.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
18740.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
18720.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
18611.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
18535.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
18452.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
18304.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
18291.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
18276.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
18268.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
18136.9
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
18062.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
18035.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
18005.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
18004.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
18002.8
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
17971.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
17914.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
17901.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
17889.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
17872.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
17786.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
17539.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
17538.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
17518.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
17492.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
17491.1
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
17486.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
17459.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
17400.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
17392.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
17350.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
17286.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
17268.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
17228.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
17178.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
17150.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
17140.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
17065.8
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
17023.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
17020.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
16995.3
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
16978.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
16913.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
16902.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
16889.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
16868.4
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
16819.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
16807.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
16668.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
16660.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
16625.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
16622.3
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
16621.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
16621.4
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
16600.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
16552.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
16458.0
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
16404.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
16389.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
16385.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
16243.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
16223.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
16184.1
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
16181.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
16032.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
15995.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
15975.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
15890.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
15838.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
15795.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
15728.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
15680.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
15626.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
15610.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
15594.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
15565.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
15532.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
15491.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
15456.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
15452.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
15399.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
15389.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
15375.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
15354.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
15335.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
15278.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
15155.4
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
15102.8
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
15086.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
15057.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
15051.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
15046.6
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
15011.8
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
14997.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14985.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
14948.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
14923.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
14902.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
14892.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
14847.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
14737.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
14693.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
14674.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
14656.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
14643.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
14593.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
14592.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
14536.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
14349.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
14327.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
14310.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
14196.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
14188.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
14145.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
14058.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
14046.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
14029.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
14014.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
13990.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
13989.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
13987.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
13948.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
13923.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
13919.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
13892.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
13886.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
13839.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
13834.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
13649.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
13596.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
13595.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
13568.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
13540.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
13468.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
13442.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
13329.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
13289.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
13281.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
13228.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
13227.2
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
13215.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
13121.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
13048.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
13039.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
13028.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
13009.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
12993.4
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
12944.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
12908.9
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
12895.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12886.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12863.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
12773.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
12763.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
12693.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
12674.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
12653.5
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12637.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
12589.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
12586.6
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
12568.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
12565.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
12563.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
12543.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12528.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
12511.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
12469.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
12417.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
12412.5
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
12404.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
12341.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
12323.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
12254.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
12243.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
12226.7
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
12178.5
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
12142.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
12123.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
12109.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
12078.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
12075.0
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
12020.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
11976.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
11968.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
11899.3
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
11818.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
11792.5
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
11703.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
11654.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
11644.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
11640.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
11604.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
11488.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
11441.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
11310.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
11299.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
11295.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
11270.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
11263.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
11248.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
11236.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
11221.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
11127.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
11048.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
11036.6
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
11029.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
11008.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
10996.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
10846.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
10829.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
10777.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
10733.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
10710.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
10673.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
10649.6
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
10645.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
10576.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
10554.1
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
10474.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
10422.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
10349.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
10231.4
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
10158.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
10117.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
10090.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
9983.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
9980.8
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
9962.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
9890.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
9611.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
9602.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
9599.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
9578.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
9480.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9417.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
9378.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
9277.3
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
9242.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
9153.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
9092.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
8953.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
8768.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
8660.9
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
8601.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
8453.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
8447.2
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
8316.6
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
8287.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
8255.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
8243.1
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8212.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
8205.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8117.9
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
8092.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7971.0
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7885.6
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
7824.8
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
7764.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
7742.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
7735.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7728.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
7615.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7547.5
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
7541.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7540.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
7427.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7419.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
7327.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
7262.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7241.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
7120.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
7069.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7057.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6888.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6610.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6343.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
6239.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6188.8
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
6106.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6026.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
6018.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5878.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5740.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5635.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5544.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5515.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5332.3
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5313.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4994.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4418.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2385.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2362.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2278.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2122.5
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2112.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1536.3
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
712.0
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-CO3 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
18954.4
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
68741.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
55844.7
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
52719.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
52233.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
50132.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
42994.0
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
37843.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
36116.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
35799.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
34606.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
33967.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
29918.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
29815.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
29763.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
28331.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
26224.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
25413.1
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
25066.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
25041.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
24976.0
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
24428.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
24370.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
23918.6
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
23533.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
23050.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
22768.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
22547.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
22075.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
22048.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
21387.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
21254.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
20968.7
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
20843.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
19556.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
19364.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
19202.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
19145.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
18676.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
18453.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
18310.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
17828.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
17640.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
17190.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
16932.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
16916.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
16641.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
16438.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
16162.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
16048.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
16047.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
16000.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
15878.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
15645.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
15456.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
15385.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
15109.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
14973.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
14803.4
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
14669.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
14555.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
13907.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
13850.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
13838.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
13757.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
13254.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
12982.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
12969.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
12961.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
12928.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
12927.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
12710.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
12421.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
12331.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
12309.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
12224.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
12202.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
11909.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
11601.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
11282.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
11234.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
11049.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
10769.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
10568.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
10333.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
10282.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9959.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
9840.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
9302.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
9284.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
8694.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
8651.9
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7879.9
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7650.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
6544.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5960.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5870.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
4622.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1638.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
24614.5
Number of samples
282
Samples
Sample
Description
TPM
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
77516.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
75493.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
73152.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
70603.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
67333.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
64684.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
62697.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
62305.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
61802.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
61022.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
60704.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
60152.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
60146.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
59873.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
58907.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
57348.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
56120.1
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
55580.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
55100.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
54481.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
53850.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
52818.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
51028.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
50311.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
48330.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
47858.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
47531.2
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
46430.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
46248.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
45922.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
45480.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
45382.8
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
44457.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
44213.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
43864.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
42729.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
42320.8
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
42246.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
42100.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
41877.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
41434.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
41304.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
41176.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
40769.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
40659.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
39609.5
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
39374.2
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
39033.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
38376.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
37338.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
36962.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
36374.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
35850.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
35711.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
35704.0
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
35328.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
35171.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
35098.4
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
34973.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
34885.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
34853.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
34809.6
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
34594.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
34591.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
34515.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
34500.5
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
33660.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
33575.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
33483.9
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
33191.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
33190.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
33182.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
32762.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
32692.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
32307.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
32161.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
32093.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
31707.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
31494.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
31446.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
31147.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
31125.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
31029.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
30726.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
30465.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
29892.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
29734.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
29729.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
29428.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
29371.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
29353.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
29070.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
28875.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
28421.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
28056.8
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
27929.2
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
27911.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
27820.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
27697.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
27682.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
27156.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
27086.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
27009.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
26911.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
26706.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
26495.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
26224.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
26179.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
26157.8
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
25762.5
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
25527.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
25240.0
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
25132.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
24899.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
24888.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
24818.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
24768.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
24596.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
24583.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
24557.4
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
24437.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
24373.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
24267.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
24002.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
23949.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
23793.7
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
23723.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
23713.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
23625.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
23417.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
22914.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
22909.5
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
22856.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
22721.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
22571.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
22535.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
22398.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
22217.4
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
22193.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
22163.1
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
22142.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
22063.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
21714.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
21339.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
21197.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
20531.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
20453.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
20394.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
20207.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
19971.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
19924.1
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
19696.1
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
19548.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
19425.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
19415.6
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
19242.9
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
19073.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
18174.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
18076.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
17822.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
17773.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
17771.1
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
17468.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
17369.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
17329.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
17145.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
17005.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
16755.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
16703.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
16676.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
16623.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
16563.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
16514.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
16510.7
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
16504.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
16218.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
16106.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
16039.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
15856.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
15706.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
15603.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
15560.2
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
15374.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
15349.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
15307.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
15207.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
15099.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
14968.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
14679.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
14581.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
14526.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
14445.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
14437.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
14422.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
14407.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
14373.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
14360.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
14343.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
14118.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
14080.1
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
13916.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
13896.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
13776.4
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
13584.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
13167.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
13162.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
13155.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
13072.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
12979.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
12728.3
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
12690.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
12661.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
12626.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
12512.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
12480.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
12470.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
12430.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
12382.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
12344.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
12288.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
12129.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
11766.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
11560.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
11356.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
11276.8
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
11271.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
11259.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
11147.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
11112.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
11040.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
10633.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
10626.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
10522.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
10317.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
10172.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
10044.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
9937.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
9925.1
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
9730.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
9727.4
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
9467.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
9428.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
8983.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8799.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
8788.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
8650.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
8542.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
8246.6
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
7891.4
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
7811.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
7716.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
7582.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
7507.4
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
7433.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
7408.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
7388.1
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
7266.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
7241.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
7063.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7033.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
6813.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
6491.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
6223.1
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5948.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5914.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
5865.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
5725.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5602.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
5522.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
5496.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5481.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
5221.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5169.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5167.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
4955.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
4888.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4313.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4189.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
4136.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3066.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3019.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2715.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
