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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 pTPM
33722.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
70409.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
63752.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
62111.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
59726.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
54013.0
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
52983.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
52664.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
51558.8
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
51377.1
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
51246.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
50160.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
48484.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
47102.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
45944.0
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
45876.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
45102.8
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
44422.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
42895.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
41320.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
41085.3
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
40995.5
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
40087.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
39887.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
39840.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
38830.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
38780.9
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
37266.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
33710.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
33644.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
33476.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
33041.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
32952.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
31268.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
30872.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
30145.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
29281.5
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
28909.3
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
28452.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
27940.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
25413.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
24774.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
24282.0
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
23781.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
23692.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
22811.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
22233.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
22210.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
21506.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
20961.7
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
20873.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
20798.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
20714.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
20492.9
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
19550.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
19225.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
19112.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
18719.8
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
18543.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
17819.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
17467.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
17314.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
13011.2
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
10636.1
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-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 pTPM
21005.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
74411.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
60126.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
59254.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
57259.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
56637.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
56594.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
54680.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
54287.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
53732.7
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
53418.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
52367.9
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
52232.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
50572.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
50354.3
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
49331.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
49022.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
48892.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
48785.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
48420.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
47823.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
47483.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
46373.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
45242.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
43577.2
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
43414.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
42911.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
42754.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
42712.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
42637.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
42632.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
42151.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
42067.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
41954.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
41265.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
41065.3
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
40783.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
40613.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
40413.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
40350.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
40324.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
40238.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
39902.0
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
39859.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
39840.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
39746.5
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
39462.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
39405.0
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
38901.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
38394.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
38314.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
37992.2
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
37756.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
37682.5
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
37572.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
37037.0
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
37007.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
36954.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
36881.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
36715.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
36546.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
36370.9
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
35769.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
35563.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
35461.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
35329.0
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
35236.7
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
35113.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
35106.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
34589.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
34221.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
33998.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
33809.3
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
33675.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
33471.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
33311.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
33100.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
33024.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
32951.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
32614.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
32478.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
32381.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
32128.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
32045.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
31935.5
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
31743.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
31685.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
31637.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
31625.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
31577.0
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
31568.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
31502.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
31473.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
31369.4
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
31263.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
31152.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
30968.4
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
30841.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
30819.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
30710.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
30573.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
30514.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
30131.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
30131.6
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
30040.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
29868.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
29706.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
29683.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
29515.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
29474.5
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
29457.5
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
29431.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
29173.0
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
28983.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
28829.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
28669.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
28459.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
28185.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
28152.9
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
28151.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
28072.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
28025.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
28025.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
27990.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
27778.2
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
27758.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
27731.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
27724.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
27559.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
27545.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
27543.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
27466.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
27274.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
27017.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
26802.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
26625.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
26592.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
26560.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
26443.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
26352.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
26309.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
26247.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
26184.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
26183.3
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
26175.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
26165.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
26155.1
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
26085.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
26077.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
25833.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
25828.8
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
25775.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
25691.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
25578.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
25369.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
25364.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
25279.7
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
25269.0
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
25240.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
24940.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
24808.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
24760.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
24720.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
24153.6
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
24146.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
24097.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
23933.2
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
23819.4
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
23730.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
23610.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
23551.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
23536.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
23484.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
23426.5
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
23218.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
23117.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
23097.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
23074.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
23058.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
23044.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
23027.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
22977.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
22897.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
22854.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
22690.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
22689.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
22546.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
22440.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
22386.2
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
22331.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
22293.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
22232.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
22200.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
22059.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
21968.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
21941.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
21821.2
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
21812.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
21797.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
21780.0
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
21763.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
21654.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
21646.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
21585.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
21418.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
21318.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
21129.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
21078.5
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
20938.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
20920.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
20914.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
20908.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
20877.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
20857.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
20827.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
20819.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
20654.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
20631.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
20553.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
20479.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
20230.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
20037.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
19936.0
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
19873.4
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
19835.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
19817.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
19796.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
19782.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
19754.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
19658.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
19476.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
19453.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
19361.6
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
19291.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
19252.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
19251.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
19144.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
19140.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
19125.9
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
19102.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
19023.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
18993.8
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
18985.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
18934.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
18867.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
18849.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
18745.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
18665.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
18637.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
18609.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
18598.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
18498.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
18453.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
18387.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
18225.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
18208.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
18139.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
18008.7
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
17960.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
17937.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
17871.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
17822.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
17810.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
17806.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
17734.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
17716.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
17572.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
17510.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
17506.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
17478.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
17404.9
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
17365.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
17128.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
17108.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
17107.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
17075.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
17053.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
16976.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
16946.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
16916.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
16910.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
16901.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
16900.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
16867.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
16860.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
16836.4
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
16813.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
16744.5
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
16541.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
16438.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
16416.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
16368.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
16359.8
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
16321.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
16262.7
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
16245.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
16243.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
16212.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
16209.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
16200.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
16081.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
16033.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
16000.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
15985.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
15982.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
15885.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
15872.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
15854.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
15850.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
15816.5
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
15779.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
15777.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
15772.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
15719.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
15715.9
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
15709.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
15690.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
15685.0
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
15622.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
15604.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
15533.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
15478.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
15472.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
15467.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
15355.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
15351.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
15321.6
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
15311.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
15251.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
15208.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
15206.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
15120.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
15076.8
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
15044.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
15016.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
14852.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
14831.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
14830.4
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
14829.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
14828.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
14754.8
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
14726.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
14723.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
14719.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
14702.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
14699.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
14673.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
14624.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
14569.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
14564.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
14522.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
14460.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
14417.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
14394.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
14347.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
14334.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
14316.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
14299.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
14248.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
14201.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
14166.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
14133.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
14125.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
14076.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
13973.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
13875.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
13772.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
13746.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
13733.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
13688.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
13637.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
13575.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
13530.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
13504.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
13479.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
13424.1
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
13407.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
13398.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
13337.4
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
13320.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
13011.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
13004.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
12987.7
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
12958.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
12947.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
12939.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
12936.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
12902.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
12898.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
12887.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
12878.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
12850.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12824.4
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
12819.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
12809.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
12798.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12787.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
12782.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
12722.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
12718.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12714.8
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
12602.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
12580.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
12579.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
12557.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
12514.5
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
12470.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
12437.4
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
12369.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
12322.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
12304.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
12289.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
12289.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
12090.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
12061.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
11975.2
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
11929.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
11802.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
11671.3
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
11611.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
11548.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
11532.9
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
11500.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
11384.0
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
11063.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
11048.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
10925.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
10906.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
10870.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
10862.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
10855.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
10848.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
10828.0
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
10733.2
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
10701.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
10694.8
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
10683.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
10642.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
10611.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
10606.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
10595.1
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
10560.9
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
10557.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
10448.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
10372.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
10300.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
10298.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
10243.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
10180.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
10159.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
10132.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
10017.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
9928.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
9924.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
9851.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
9818.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
9781.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
9749.5
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
9739.7
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
9690.7
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
9647.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
9642.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
9617.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
9537.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
9477.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
9465.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
9455.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
9348.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
9287.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
9241.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
9146.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
9135.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
9124.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
8989.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
8757.4
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
8721.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
8713.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
8697.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
8468.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
8425.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
8415.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
8385.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
8208.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
8141.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
7924.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7780.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7732.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7723.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
7690.9
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7603.7
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
7510.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
7274.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
7146.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6976.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6962.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6874.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
6667.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6539.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6369.8
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6257.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6112.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6103.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6065.4
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6005.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5974.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5937.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5896.5
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5831.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5622.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
5493.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
5363.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5187.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5166.2
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4765.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2805.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2631.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2500.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2169.8
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2131.9
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1513.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
119.5
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 pTPM
17504.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
55534.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
52861.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
50621.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
35252.5
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
35207.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
35050.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
30215.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
29334.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
28847.6
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
28819.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
28502.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
28236.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
28191.2
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
27772.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
25799.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
24990.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
24918.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
24512.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
24493.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
24108.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
23751.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
22326.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
22153.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
22010.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
21740.4
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
20994.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
20683.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
19583.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
19175.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
19056.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
18774.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
18507.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
18494.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
18197.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
18108.4
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
18029.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
17926.4
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
17898.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
17796.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
17216.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
17209.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
17091.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
17047.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
16994.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
16637.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
16466.5
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
16349.1
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
15961.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
15940.5
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
15927.4
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
15858.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
15763.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
15722.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
15619.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
15559.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
15502.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
15374.3
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
14582.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
14260.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
14023.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
13923.7
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
13630.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
13466.5
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
13429.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
13412.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
13392.8
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
13370.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
12324.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
12073.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
11948.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
11626.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
11349.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
11275.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
11268.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
11025.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
10919.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
10909.2
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
10847.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
10733.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
10618.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
10548.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
10547.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
10411.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
10354.7
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
10340.7
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
10319.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
10046.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
10016.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
9880.6
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
9412.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
8654.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
8371.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
7497.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
7436.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7384.7
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7314.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3472.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2002.2
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 pTPM
20040.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
65207.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
58343.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
55956.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
50432.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
49672.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
48207.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
47729.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
47569.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
44640.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
44401.8
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
42844.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
42782.9
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
42238.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
42231.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
41328.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
41127.4
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
40913.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
40476.4
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
37919.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
37656.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
37625.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
37424.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
37400.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
37242.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
37076.9
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
36759.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
36483.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
36225.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
36208.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
35985.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
35943.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
35706.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
35234.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
35045.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
34601.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
33682.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
33458.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
33244.3
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
33239.3
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
32910.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
32772.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
32687.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
32592.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
32480.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
32457.6
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
32438.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
32361.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
32075.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
31496.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
31330.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
31276.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
31261.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
31211.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
30989.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
30798.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
30598.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
30411.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
30232.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
30001.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
29844.5
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
29796.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
29369.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
28587.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
28023.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
27847.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
27689.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
27623.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
27555.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
27447.0
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
27049.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
26868.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
26792.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
26643.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
26614.5
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
26474.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
26437.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
25857.9
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
25579.9
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
25488.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
25439.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
25415.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
25217.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
24974.4
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
24911.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
24855.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
24633.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
24615.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
24560.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
24258.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
24247.8
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
24062.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
23957.0
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
23849.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
23833.4
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
23763.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
23739.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
23667.0
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
23368.6
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
23187.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
23168.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
23091.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
22995.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
22787.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
22676.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
22673.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
22667.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
22542.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
22070.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
22050.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
21813.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
21501.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
21491.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
21410.4
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
21299.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
21299.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
21276.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
20767.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
20730.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
20569.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
20446.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
20355.6
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
20259.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
19958.3
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
19674.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
19660.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
19630.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
19554.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
19524.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
19465.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
19221.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
19107.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
18570.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
18462.7
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
18359.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
18337.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
18257.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
18154.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
18027.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
17894.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
17657.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
17147.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
17072.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
16902.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
16859.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
16801.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
16677.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
16666.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
16601.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
16549.5
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
16536.5
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
16432.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
16327.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
16227.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
16209.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
15982.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
15911.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
15866.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
15835.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
15736.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
15671.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
15574.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
15533.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
15411.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
15358.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
15208.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
15159.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
15029.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
14948.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
14936.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
14822.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
14757.5
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
14379.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
13936.5
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
13886.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
13841.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
13539.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
13535.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
13397.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
13386.0
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
13327.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
13237.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
13129.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
13099.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
12955.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
12886.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
12881.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
12684.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
12682.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
12615.1
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
12520.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
12497.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
12474.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
12359.9
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
12359.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
12288.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
12216.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
12171.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
12143.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
12127.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
11917.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
11903.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
11879.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
11763.4
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
11697.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
11676.2
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
11574.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
11564.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
11511.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
11473.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
11470.4
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
11286.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
11271.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
11195.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
11189.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
11170.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
11087.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
10996.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
10984.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
10963.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
10819.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
10805.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
10781.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
10601.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
10598.4
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
10540.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
10466.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
10290.3
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
10151.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
10011.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
9881.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
9859.8
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
9682.1
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
9657.7
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
9305.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
9209.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
8990.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8901.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
8850.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
8685.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
8389.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
8312.9
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
8303.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
8222.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
8043.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7929.3
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
7780.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7529.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
7504.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7498.6
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
7395.2
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
7126.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
7112.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
7067.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6944.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
6792.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
6766.8
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
6727.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
6695.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6612.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
6319.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
6228.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
6097.1
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
5971.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
5833.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5782.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5717.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5711.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5631.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5588.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5537.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
5127.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
4976.6
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
4901.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4805.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4713.0
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
4264.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3982.8
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3770.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3764.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2845.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2690.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2047.4
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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
