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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-ATP6 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 TPM
29317.5
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
63483.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
58129.5
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
56985.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
54431.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
49147.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
48525.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
47529.2
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
47103.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
46361.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
46268.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
44917.9
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
42511.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
42268.0
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
41189.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
40168.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
39844.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
39440.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
38600.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
37071.9
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
36590.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
35727.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
35498.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
35421.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
35115.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
35086.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
34449.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
32688.0
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
30465.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
29534.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
29236.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
29207.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
28890.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
27409.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
27211.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
26531.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
24141.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
24073.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
23449.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
22636.1
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
21290.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
20447.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
19802.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
19707.7
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
19657.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
19506.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
17919.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
17414.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
17273.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
16930.7
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
16482.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
15974.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
15970.2
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
15865.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
15774.2
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
15309.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
14867.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
14774.8
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
14570.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
13876.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
13772.7
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
13525.6
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
9726.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
7992.2
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-ATP6 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
17527.5
Number of samples
521
Samples
Sample
Description
TPM
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
62655.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
53324.5
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
53111.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
52391.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
49880.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
48547.9
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
47663.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
46846.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
46584.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
44612.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
44090.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
43660.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
43432.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
43220.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
42101.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
42080.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
42062.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
41168.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
40841.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
39807.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
39670.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
39220.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
38989.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
38409.4
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
36533.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
36439.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
36366.6
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
36036.5
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
36029.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
35893.0
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
35554.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
35364.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
35204.2
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
35180.2
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
35132.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
35069.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
34694.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
34657.7
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
34547.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
34336.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
34262.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
33933.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
33439.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
33403.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
33224.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
33217.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
33048.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
33027.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
32813.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
32624.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
32392.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
31871.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
31661.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
31639.5
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
31411.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
31389.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
30979.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
30795.3
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
30789.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
30723.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
30664.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
30658.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
30069.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
29915.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
29880.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
29357.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
29280.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
29202.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
28959.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
28839.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
28674.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
28651.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
28387.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
28345.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
27841.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
27695.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
27604.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
27472.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
27471.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
27147.3
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
27118.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
27033.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
27003.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
26978.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
26926.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
26894.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
26770.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
26703.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
26513.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
26301.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
26280.6
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
26274.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
26188.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
26143.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
25971.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
25763.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
25704.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
25428.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
25386.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
25362.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
25215.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
24990.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
24949.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
24928.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
24792.0
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
24737.8
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
24615.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
24558.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
24424.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
24326.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
24253.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
24208.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
24150.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
24116.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
24099.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
24058.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
23992.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
23965.6
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
23826.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
23677.8
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
23658.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
23640.7
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
23635.4
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
23615.3
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
23524.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
23466.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
23310.3
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
23170.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
23022.9
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
22761.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
22454.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
22443.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
22365.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
22206.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
22180.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
22049.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
21917.1
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
21887.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
21845.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
21779.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
21757.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
21753.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
21724.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
21677.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
21673.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
21655.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
21606.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
21583.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
21569.4
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
21494.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
21418.0
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
21401.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
21264.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
21156.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
21134.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
20933.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
20907.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
20849.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
20705.2
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
20673.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
20659.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
20457.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
20363.5
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
20350.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
20123.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
20039.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
20006.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
19982.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
19827.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
19814.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
19676.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
19643.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
19409.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
19319.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
19301.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
19252.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
19188.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
19013.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
18972.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
18971.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
18949.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
18942.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
18920.4
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
18905.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
18902.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
18848.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
18834.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
18731.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
18695.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
18657.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
18507.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
18399.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
18375.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
18339.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
18269.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
18100.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
18053.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
18045.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
17938.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
17770.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
17538.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
17502.5
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
17456.5
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
17444.4
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
17273.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
17233.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
17221.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
17200.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
17076.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
17025.0
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
16936.5
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
16933.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
16926.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
16926.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
16870.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
16794.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
16777.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
16774.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
16758.8
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
16629.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
16592.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
16543.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
16492.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
16414.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
16340.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
16283.9
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
16242.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
16170.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
16145.9
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
16072.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
16042.0
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
16027.7
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
16011.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
15993.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
15973.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
15954.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
15913.9
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
15876.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
15837.4
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
15732.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
15725.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
15711.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
15620.5
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
15604.8
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
15556.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
15421.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
15341.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
15255.0
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
15188.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
15040.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
15020.0
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
14981.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
14965.0
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
14949.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
14911.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
14905.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
14742.9
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
14731.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
14689.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
14649.9
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
14617.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
14612.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
14589.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
14546.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
14524.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
14489.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
14483.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
14472.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
14429.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
14345.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
14333.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14274.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
14270.8
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
14197.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
14121.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
14083.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
14041.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
14041.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
14032.8
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
14030.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
14016.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
13807.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
13794.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
13759.3
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
13736.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
13706.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
13672.3
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
13670.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13630.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
13613.9
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
13523.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
13521.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
13484.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
13456.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
13375.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
13365.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
13317.7
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
13263.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
13256.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
13245.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
13194.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
13151.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
13144.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
13132.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
13116.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
13115.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
13115.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
13061.1
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
13056.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
13038.2
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
13030.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
13015.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
12978.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
12956.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
12948.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
12942.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
12940.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
12911.6
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
12899.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
12898.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
12891.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12886.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
12868.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
12867.2
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
12700.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
12604.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
12545.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
12515.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
12477.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
12454.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
12422.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
12419.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
12407.2
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
12383.0
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
12377.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
12376.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
12375.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
12373.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
12351.1
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
12308.2
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
12274.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
12241.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
12238.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
12207.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
12201.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12198.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
12183.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
12151.7
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
12125.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
12114.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
12053.8
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
11966.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
11952.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
11947.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
11928.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
11900.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
11895.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
11889.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
11874.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
11749.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
11739.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
11710.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
11679.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
11574.1
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
11538.3
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
11323.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
11242.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
11188.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
11168.1
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
11130.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
11047.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
11040.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
11025.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
11021.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
11020.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
11010.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
10979.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
10945.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
10893.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
10871.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
10863.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
10849.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
10808.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
10795.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
10794.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
10786.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
10752.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
10746.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
10723.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
10682.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
10544.1
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
10515.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
10502.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
10479.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10462.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
10401.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
10400.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
10400.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
10389.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
10354.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
10340.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
10313.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
10297.6
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
10256.7
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
10202.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
10175.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
10158.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
10115.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
10046.5
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
9981.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
9966.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
9918.8
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
9898.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
9808.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
9601.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
9582.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
9551.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
9481.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
9428.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
9291.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
9289.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
9267.5
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9265.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
9197.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
9195.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
9193.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
9172.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
9050.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
9019.2
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8998.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
8904.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
8796.7
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
8795.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
8788.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8783.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
8770.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
8764.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8736.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8707.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
8626.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
8581.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
8557.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
8444.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
8421.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
8418.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
8348.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
8330.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
8315.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
8299.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
8258.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
8190.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
8188.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
8167.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
8106.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
8082.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
8064.7
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
8007.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
7994.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
7992.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
7958.7
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7883.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7879.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
7810.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
7801.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7798.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7784.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
7743.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7718.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
7618.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7578.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
7369.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
7360.1
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7342.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
7335.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
7192.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7159.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7135.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7081.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
7022.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6990.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6812.5
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
6782.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6722.6
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
6604.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6567.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6558.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
6429.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6401.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
6370.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6233.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5923.2
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5857.3
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
5728.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5722.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5537.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5369.1
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5285.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5217.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5102.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5071.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4975.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4967.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4958.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4958.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4931.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4785.9
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4762.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4526.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4341.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4341.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4198.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4165.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3967.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2192.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2097.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1933.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1804.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1694.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1050.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
87.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP6 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
14468.0
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
50426.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
46842.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
42761.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
30431.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
29817.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
29455.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
25370.8
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
24663.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
24403.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
24282.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
23974.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
23701.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
23603.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
22831.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
21864.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
20881.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
20614.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
20547.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
19748.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
19617.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
19179.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
18409.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
18240.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
18121.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
18098.7
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
17589.8
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
17307.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
16079.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
15804.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
15494.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
14863.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
14839.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
14818.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
14810.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
14759.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
14692.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
14552.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
14207.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
14167.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
14150.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
13949.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
13893.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
13811.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
13696.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
13671.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
13300.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
13215.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
13017.8
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
12986.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
12978.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
12878.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
12863.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
12725.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
12711.3
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
12672.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
12589.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
12412.7
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
11852.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
11677.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
11566.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
11429.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
11406.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
11307.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
10972.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
10961.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
10833.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
10725.1
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
10365.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
9784.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
9609.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
9575.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
9329.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9195.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
9119.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
8950.6
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
8890.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
8869.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
8730.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
8724.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
8708.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
8655.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
8528.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
8481.9
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8479.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
8338.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8135.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
8071.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
8018.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
7952.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7664.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
7152.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
6383.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
6021.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5972.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5818.9
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5745.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2810.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1568.2
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-ATP6 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16629.8
Number of samples
282
Samples
Sample
Description
TPM
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
56657.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
50478.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
48947.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
44529.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
44463.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
42135.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
40421.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
39799.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
39365.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
38530.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
36791.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
36045.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
36022.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
35985.3
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
35022.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
34629.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
34141.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
33582.4
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
33422.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
33366.4
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
33108.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
32589.9
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
32500.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
32105.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
31820.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
31452.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
31278.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
31237.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
31023.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
30383.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
29599.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
29520.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
29115.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
28923.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
28520.5
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
28369.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
28273.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
28219.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
28205.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
28006.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
27933.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
27909.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
27733.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
27725.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
27456.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
27419.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
27325.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
26900.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
26875.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
26252.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
26182.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
26058.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
25995.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
25928.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
25862.0
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
25453.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
25226.8
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
24942.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
24916.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
24868.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
24848.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
24685.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
24181.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
23936.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
23522.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
23446.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
23340.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
23224.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
22911.8
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
22288.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
22242.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
21686.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
21675.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
21598.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
21572.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
21500.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
21458.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
21349.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
21044.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
21034.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
21010.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
20980.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
20811.5
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
20596.5
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
20572.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
20422.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
20400.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
20352.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
20339.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
20285.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
20105.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
19741.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
19655.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
19491.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
19373.3
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
19306.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
19157.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
19154.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
19142.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
19025.9
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
18961.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
18771.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
18740.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
18648.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
18534.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
18310.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
18225.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
18178.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
18089.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
17999.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
17980.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
17919.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
17875.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
17724.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
17622.5
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
17586.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
17513.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
17128.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
17058.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
17013.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
16697.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
16655.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
16502.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
16423.4
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
16353.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
16294.3
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
16287.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
16121.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
15880.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
15575.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
15412.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
15402.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
15328.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
15294.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
15127.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
15012.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
14871.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
14635.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
14615.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
14314.2
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
14095.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
14052.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
13952.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
13893.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
13763.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
13718.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
13642.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
13631.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
13552.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
13335.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
13237.8
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
13236.5
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
13224.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
13218.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
13194.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
13141.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
13084.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
13051.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
13045.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
13042.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
12856.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
12680.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
12650.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
12647.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
12502.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
12348.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
12310.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
12163.3
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
11800.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
11648.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
11601.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
11535.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
11292.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
11256.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
11249.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
11160.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
11101.9
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
10900.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
10898.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
10706.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
10578.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
10547.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
10527.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
10475.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
10474.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
10394.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
10387.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
10215.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
10163.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
10144.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
10125.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
10116.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
10093.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
10050.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
9863.0
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
9686.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
9668.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
9652.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
9649.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
9572.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
9527.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
9425.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
9344.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
9226.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
9175.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9166.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
9152.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
9115.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
8918.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
8876.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
8832.6
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
8819.4
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
8795.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
8731.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
8646.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
8598.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
8592.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
8561.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
8455.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
8429.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
8409.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
8368.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
8347.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8323.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
8211.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
8211.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
8128.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
8082.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
8050.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7913.2
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
7908.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
7810.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
7511.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
7486.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
7391.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
7382.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
7257.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
6884.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
6442.8
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
6413.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
6409.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
6406.1
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6329.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
6326.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
6260.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
6219.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
6100.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
6044.1
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5985.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5894.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5872.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
5830.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5692.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5563.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
5552.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5459.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5356.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
5232.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5101.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4782.9
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4745.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4684.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
4610.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4600.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
4600.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4584.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4486.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4314.4
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
4280.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
4247.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4008.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
3922.9
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3788.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3650.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
3539.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3185.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3181.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2801.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2459.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2221.0
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2191.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1638.4
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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
