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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-ATP8 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
40231.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
96994.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
86487.0
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
75761.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
72793.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
69235.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
68694.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
67488.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
64472.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
62932.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
59276.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
57603.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
57582.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
55756.0
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
54753.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
54260.9
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
54050.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
53994.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
53971.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
53518.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
51332.0
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
51146.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
50250.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
50185.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
48874.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
47817.8
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
46880.6
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
46506.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
42745.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
42298.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
39630.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
39061.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
38833.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
37879.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
37541.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
35836.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
31184.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
30836.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
30805.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
29383.2
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
28406.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
28128.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
27857.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
26692.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
26330.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
25796.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
24981.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
24401.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
24265.5
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
23772.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
23181.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
22692.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
22537.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
20949.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
20537.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
20501.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
20320.3
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
19587.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
19150.2
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
17874.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
17466.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
17102.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
13901.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
8978.9
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-ATP8 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
25448.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
86688.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
86288.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
83884.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
83714.1
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
81000.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
79181.5
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
74516.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
71875.9
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
69956.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
69432.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
69270.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
65347.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
64531.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
64017.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
63682.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
63236.7
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
61887.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
61495.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
61027.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
60930.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
60929.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
59479.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
58827.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
58441.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
57790.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
57694.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
56760.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
56084.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
56037.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
55595.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
55239.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
54111.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
53184.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
52521.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
52269.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
51710.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
51663.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
51643.0
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
51624.8
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
51229.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
51101.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
50960.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
50608.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
50451.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
50433.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
48423.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
48402.2
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
47493.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
47383.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
46923.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
46913.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
46705.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
46671.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
46129.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
45659.0
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
45141.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
44814.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
44723.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
44555.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
44444.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
44435.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
43667.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
43350.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
43325.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
42984.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
42667.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
42566.1
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
42352.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
41649.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
41620.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
41014.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
40855.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
40850.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
40568.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
40450.0
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
40228.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
40172.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
40142.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
40104.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
40075.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
39966.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
39544.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
39474.4
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
39071.7
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
38704.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
37643.8
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
37580.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
37277.4
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
37263.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
36784.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
36706.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
36521.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
36519.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
36418.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
36195.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
35919.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
35770.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
35686.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
35567.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
35540.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
35198.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
35005.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
34830.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
34764.8
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
34708.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
34702.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
34639.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
34607.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
34272.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
34259.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
34214.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
34095.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
33749.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
33456.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
33336.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
33260.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
33099.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
32908.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
32782.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
32699.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
32690.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
32421.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
32250.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
32201.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
32120.5
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
32044.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
32016.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
31726.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
31724.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
31609.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
31532.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
31455.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
31293.2
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
31264.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
31214.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
31207.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
31093.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
30975.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
30536.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
30390.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
30339.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
30267.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
30256.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
30168.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
30052.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
29889.9
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
29884.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
29811.8
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
29804.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
29599.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
29548.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
29478.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
29328.2
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
29167.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
29080.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
28988.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
28958.0
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
28567.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
28547.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
28340.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
28340.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
28242.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
28146.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
28146.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
28084.9
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
28064.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
27951.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
27928.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
27692.6
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
27580.4
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
27530.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
27469.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
27349.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
27336.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
27215.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
27166.5
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
27163.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
27149.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
27112.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
27067.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
27062.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
27022.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
27014.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
26941.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
26753.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
26521.4
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
26411.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
26334.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
26251.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
26220.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
26044.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
25989.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
25645.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
25437.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
25421.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
25413.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
25322.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
25318.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
25275.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
25269.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
25254.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
25234.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
25233.5
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
25146.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
25095.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
24978.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
24775.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
24713.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
24696.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
24636.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
24589.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
24559.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
24535.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
24446.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
24412.6
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
24357.9
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
24178.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
24104.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
23919.1
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
23902.4
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
23856.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
23826.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
23762.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
23755.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
23702.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
23647.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
23612.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
23526.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
23509.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
23476.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
23433.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
23432.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
23288.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
23196.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
23097.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
23070.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
22969.7
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
22769.9
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
22715.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
22665.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
22596.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
22562.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
22522.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
22465.4
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
22396.0
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
22394.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
22379.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
22246.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
22171.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
22166.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
22153.9
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
22115.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
22097.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
22061.3
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
21954.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
21926.4
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
21810.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
21784.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
21769.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
21753.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
21746.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
21669.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
21636.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
21573.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
21527.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
21501.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
21403.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
21374.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
21244.1
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
21212.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
21115.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
21099.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
21080.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
21056.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
20970.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
20920.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
20915.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
20877.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
20864.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
20747.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
20662.3
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
20587.5
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
20576.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
20492.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
20410.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
20380.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
20332.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
20318.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
20276.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
20173.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
20152.8
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
20133.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
20047.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
19925.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
19919.8
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
19899.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
19858.3
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
19758.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
19711.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
19670.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
19651.6
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
19651.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
19614.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
19535.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
19451.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
19415.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
19282.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
19209.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
19091.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
19068.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
19066.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
18988.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
18971.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
18925.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
18874.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
18828.5
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
18797.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
18792.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
18788.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
18737.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
18716.5
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
18641.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
18636.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
18589.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
18538.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
18505.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
18457.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
18291.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
18280.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
18261.0
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
18254.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
18243.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
18229.2
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
18196.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
18117.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
18098.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
18094.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
18026.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
18003.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
17947.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
17792.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
17786.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
17576.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
17482.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
17419.5
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
17415.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
17391.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
17345.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
17326.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
17310.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
17302.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
17198.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
17176.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
17147.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
17091.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
16934.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
16897.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
16841.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
16767.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
16758.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
16749.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
16702.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
16644.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
16637.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
16556.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
16507.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
16420.3
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
16411.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
16350.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
16346.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
16344.4
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
16340.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
16263.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
16099.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
16083.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
16057.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
16047.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
16039.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
16035.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
15922.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
15840.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
15800.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
15725.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
15721.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
15632.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
15555.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
15552.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
15474.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
15450.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
15347.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
15336.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
15332.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
15289.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
15280.7
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
15269.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
15129.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
15072.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
15037.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
14955.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
14910.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
14882.3
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
14868.4
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
14760.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
14688.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
14593.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
14540.5
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
14427.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
14422.7
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
14379.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
14329.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
14288.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
14178.6
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
14177.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
14115.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
14099.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
13919.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
13834.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
13825.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
13796.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
13791.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
13790.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
13701.0
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
13697.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
13689.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
13651.6
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
13553.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
13479.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
13386.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
13345.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
13343.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
13321.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
13272.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
13182.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
13168.2
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
13142.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
13080.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
13033.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
13024.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
12988.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
12889.3
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
12881.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
12848.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
12836.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12736.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
12530.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
12516.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
12485.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
12471.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
12419.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
12398.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
12375.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
12289.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
12171.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
11999.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
11951.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
11939.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
11797.0
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
11774.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
11572.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
11542.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
11395.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
11367.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
11326.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
11199.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
10809.4
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
10793.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
10730.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
10704.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
10651.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
10615.7
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
10428.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
10242.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
10134.3
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
10068.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
9941.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
9907.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
9801.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9798.3
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
9761.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
9695.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
9607.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9569.6
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
9171.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
9156.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
9065.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
9019.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
8953.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
8832.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
8711.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
8700.2
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
8660.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
8631.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
8313.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
8191.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
8166.8
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7972.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
7401.1
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
7309.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
7279.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
7128.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6942.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6816.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6798.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
6788.4
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6785.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6433.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
6356.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
6085.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
6010.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5489.0
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5165.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5013.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
4838.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3416.3
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3226.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2921.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2760.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2705.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
343.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
89.3
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-ATP8 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 pTPM
23386.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
83849.1
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
82282.5
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
75246.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
49778.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
45943.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
44973.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
44401.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
43953.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
41946.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
41090.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
40847.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
40828.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
40416.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
37409.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
36481.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
36412.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
36014.8
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
34779.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
34385.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
33881.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
33752.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
33187.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
31656.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
30604.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
30586.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
29956.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
29211.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
28750.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
28703.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
28561.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
28379.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
27342.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
27093.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
27042.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
26989.8
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
26520.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
26381.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
24721.8
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
24456.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
24313.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
23901.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
23116.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
22837.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
22323.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
22291.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
22069.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
21848.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
21689.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
21600.0
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
20719.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
20595.0
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
20211.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
20179.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
20113.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
19915.9
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
19741.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
19740.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
19618.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
19432.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
19263.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
19223.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
18488.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
18152.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
17979.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
17896.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
17830.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
17503.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
17138.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
16021.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
15794.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
15275.9
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
15010.2
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
14626.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
14587.9
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
14174.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
14014.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
13611.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
13391.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
13307.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
12791.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
12618.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
11891.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
11682.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
10782.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
10428.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
9836.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5953.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5262.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3875.0
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3253.7
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3197.9
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3187.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3165.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3060.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2581.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2300.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1828.4
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1420.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1066.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
19711.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
64912.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
64340.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
61873.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
56134.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
54358.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
49411.9
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
49122.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
49061.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
48016.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
47901.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
43846.6
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
41891.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
41362.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
41032.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
40799.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
39393.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
39299.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
39224.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
39071.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
38674.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
38318.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
37505.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
36321.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
35471.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
35343.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
35299.9
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
34769.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
34538.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
34535.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
34531.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
34485.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
34336.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
34104.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
33997.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
33966.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
33556.0
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
33501.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
32964.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
32925.3
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
32717.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
32707.3
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
32621.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
32537.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
32354.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
32236.4
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
32192.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
31782.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
31452.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
31049.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
30842.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
30626.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
30462.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
29939.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
29837.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
29607.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
29524.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
29461.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
29244.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
28878.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
28392.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
28366.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
28073.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
28044.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
27839.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
27577.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
27373.0
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
27360.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
26964.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
26881.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
26867.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
26584.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
26197.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
25222.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
25203.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
24962.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
24950.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
24750.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
24731.0
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
24539.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
24497.3
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
24411.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
24374.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
24350.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
24327.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
24192.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
24165.6
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
23904.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
23838.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
23772.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
23685.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
23360.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
23343.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
23341.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
23248.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
23142.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
23127.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
22712.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
22370.2
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
22045.9
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
21891.9
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
21809.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
21644.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
21619.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
21224.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
21213.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
21131.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
21049.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
21044.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
21014.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
21010.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
20919.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
20882.5
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
20811.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
20796.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
20434.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
20293.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
20287.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
20091.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
20057.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
19698.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
19529.5
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
19332.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
19321.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
19318.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
18803.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
18746.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
18709.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
18635.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
18585.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
18530.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
18351.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
18125.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
18017.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
17911.5
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
17899.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
17859.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
17844.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
17788.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
17592.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
17530.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
17482.0
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
17219.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
17182.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
17134.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
17083.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
16966.7
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
16937.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
16896.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
16787.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
16519.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
16475.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
16451.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
16406.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
16387.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
16165.5
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
16159.3
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
16085.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
15797.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
15777.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
15637.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
15498.3
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
15364.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
15303.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
15195.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
15120.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
15075.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
14936.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
14930.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
14923.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
14813.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
14736.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
14643.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
14624.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
14450.6
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
14431.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
14420.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
14409.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
14244.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
14047.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
13990.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
13977.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
13904.3
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
13852.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
13692.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
13672.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
13627.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
13595.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
13551.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
13469.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
13396.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
13386.8
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
13114.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
13088.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
12978.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
12866.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
12843.4
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
12441.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
12426.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
12314.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
12298.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
12090.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
12050.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
11952.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
11525.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
11476.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
11439.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
11418.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
11393.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
11340.2
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
11308.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
11248.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
11078.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
11030.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
10971.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
10889.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
10803.7
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
10734.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
10653.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
10568.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
10437.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
10406.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
10236.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
10226.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
10159.0
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
10007.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
9866.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
9835.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
9593.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
9418.9
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
9284.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
9245.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
9155.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
9142.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
9099.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
8910.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8870.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
8717.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
8698.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
8671.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
8078.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
8048.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
8046.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
8044.7
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
7951.7
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7889.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7673.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
7603.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
7565.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
7487.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
7318.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
7270.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
7172.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6966.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6483.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
6469.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
6127.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
6029.1
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
5938.6
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5900.8
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
5844.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
5702.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5681.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4829.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4688.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
4632.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4583.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4543.9
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4164.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3931.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3919.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3918.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3915.3
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3318.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3288.4
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3144.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2682.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2332.6
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1530.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
837.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
519.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
407.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
263.4
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
