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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
35039.6
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
87454.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
79349.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
67984.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
66373.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
63096.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
61995.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
60434.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
56538.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
56368.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
51994.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
49939.9
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
49879.0
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
49644.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
49418.7
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
49270.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
48847.6
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
48456.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
48137.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
47576.2
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
45585.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
45377.1
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
45035.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
43981.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
43828.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
42638.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
42242.8
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
41622.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
38493.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
37523.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
35884.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
34379.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
34040.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
33681.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
33120.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
30405.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
27152.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
27037.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
25263.5
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
23423.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
23082.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
21933.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
21599.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
21560.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
21438.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
21185.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
20995.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
19726.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
19025.8
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
18698.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
18278.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
18269.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
18172.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
17362.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
16788.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
16109.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
15960.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
14959.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
14504.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
14240.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
13702.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
13056.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
11040.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
6747.0
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
21229.3
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
78952.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
74168.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
74113.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
69627.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
68203.5
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
66288.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
64218.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
63634.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
62484.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
61545.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
58018.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
57886.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
53628.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
53335.1
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
53296.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
53257.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
52422.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
51745.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
51341.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
51162.6
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
50811.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
50431.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
49682.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
48837.0
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
48045.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
47770.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
47329.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
47195.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
47143.8
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
47099.1
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
46850.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
46385.9
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
45771.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
45682.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
45601.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
44889.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
44800.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
44360.6
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
43557.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
43274.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
42719.2
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
42615.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
42477.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
42264.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
41499.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
41477.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
41338.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
40684.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
40269.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
39425.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
39391.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
38812.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
38698.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
38633.5
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
38558.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
38310.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
38057.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
37933.3
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
37920.1
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
37800.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
37233.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
36818.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
36764.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
36352.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
36033.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
35923.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
35780.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
35780.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
35339.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
34901.4
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
34842.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
34165.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
33840.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
33689.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
33667.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
33624.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
33494.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
33426.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
33293.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
33270.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
33166.0
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
33053.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
32822.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
32821.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
32404.9
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
31618.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
31306.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
31293.8
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
31262.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
31241.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
30821.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
30616.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
30487.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
30377.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
30226.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
29870.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
29573.9
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
29408.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
29307.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
29290.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
29269.5
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
29129.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
29128.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
29025.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
29022.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
28994.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
28916.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
28732.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
28648.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
28545.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
28511.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
28392.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
28261.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
28169.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
27965.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
27930.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
27866.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
27864.6
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
27853.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
27635.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
27449.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
27209.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
27207.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
27200.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
27124.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
27086.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
26906.8
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
26797.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
26753.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
26698.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
26629.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
26528.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
26370.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
26342.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
26019.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
25813.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
25732.9
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
25613.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
25593.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
25369.7
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
25348.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
25231.5
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
25137.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
25053.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
24829.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
24771.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
24750.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
24565.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
24532.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
24492.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
24430.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
24137.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
24132.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
24113.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
23984.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
23600.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
23573.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
23571.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
23551.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
23538.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
23519.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
23442.8
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
23307.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
23223.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
23202.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
23168.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
23082.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
23000.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
22833.7
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
22758.3
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
22715.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
22695.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
22648.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
22588.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
22218.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
22194.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
22192.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
22172.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
22129.1
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
22058.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
22045.9
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
22010.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
21966.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
21933.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
21830.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
21641.2
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
21637.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
21560.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
21502.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
21485.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
21468.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
21409.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
21328.6
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
21326.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
21287.5
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
21212.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
21164.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
21151.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
21110.3
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
21101.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
21085.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
20964.5
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
20952.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
20948.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
20905.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
20840.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
20821.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
20770.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
20758.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
20664.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
20561.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
20373.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
20298.8
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
20204.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
20194.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
20163.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
20087.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
20047.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
20025.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
20017.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
19944.5
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
19941.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
19870.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
19587.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
19529.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
19526.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
19484.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
19422.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
19418.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
19280.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
19261.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
19242.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
19212.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
19202.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
19148.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
19115.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
18902.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
18756.9
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
18680.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
18664.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
18649.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
18619.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
18610.0
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
18536.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
18390.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
18361.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
18272.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
18267.1
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
18257.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
18250.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
18215.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
18142.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
18141.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
18096.1
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
18062.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
18056.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
18039.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
18004.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
17975.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
17926.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
17915.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
17878.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
17861.6
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
17853.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
17672.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
17646.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
17584.5
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
17567.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
17550.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
17544.4
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
17526.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
17478.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
17435.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
17408.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
17365.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
17331.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
17268.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
17166.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
17159.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
17133.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
17090.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
17022.7
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
16981.7
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
16976.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
16861.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
16858.0
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
16819.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
16615.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
16586.8
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
16572.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
16554.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
16517.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
16504.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
16481.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
16419.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
16370.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
16353.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
16329.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
16310.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
16211.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
16164.6
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
16062.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
16052.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
16040.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
16023.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
16005.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
15877.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
15861.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
15805.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
15781.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
15774.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
15682.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
15660.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
15655.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
15650.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
15570.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
15523.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
15460.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
15455.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
15451.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
15398.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
15392.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
15323.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
15308.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
15249.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
15242.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
15176.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
15172.5
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
15152.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
15128.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
15115.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
15066.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
15029.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
15020.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
15005.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
14981.4
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
14902.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
14899.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
14800.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
14792.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
14738.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
14649.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
14614.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
14486.0
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
14395.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
14384.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
14335.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
14305.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
14232.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
14229.1
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
14228.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
14227.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
14193.3
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
14169.2
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
14145.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
14068.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
13862.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
13827.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
13824.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
13805.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
13748.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
13746.6
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
13727.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
13698.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
13649.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13609.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
13522.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
13510.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
13465.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
13465.7
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
13339.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
13331.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
13322.9
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
13307.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
13092.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
13064.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
13048.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
13045.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
13042.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
13018.4
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
13009.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
12919.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
12910.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
12898.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
12835.9
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
12823.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
12807.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
12785.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
12741.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
12693.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
12655.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
12534.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
12534.6
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
12528.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
12516.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
12501.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
12496.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
12360.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
12242.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
12142.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
12106.8
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
12088.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
12079.7
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
11978.0
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
11971.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
11946.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
11895.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
11882.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
11768.7
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
11698.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
11684.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
11619.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
11572.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
11548.6
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
11436.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
11429.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
11370.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
11356.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
11341.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
11334.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
11326.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
11319.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
11274.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
11213.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
11209.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
11162.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
11119.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
11066.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
11038.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
11002.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
10954.1
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
10942.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
10874.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
10861.8
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
10817.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
10812.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
10808.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
10685.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
10677.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
10635.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
10585.1
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
10579.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
10523.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
10450.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
10429.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
10414.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
10397.2
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
10365.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
10292.6
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
10116.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
10065.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
10006.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
9963.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
9936.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
9891.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
9715.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
9649.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
9509.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
9484.7
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
9468.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
9449.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
9385.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
9332.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
9142.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
9130.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
8992.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
8919.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
8735.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
8717.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
8689.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
8664.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
8649.8
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
8643.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
8550.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
8324.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
8200.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
8158.4
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
8134.7
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
8134.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
8104.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
8022.6
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
8007.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7784.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
7701.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
7679.3
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7538.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7363.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7286.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7253.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
7093.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7069.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6890.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6876.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6786.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6527.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6417.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6074.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6064.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5961.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5879.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5669.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5622.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5577.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5514.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5497.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5401.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5066.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4935.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4750.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4442.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4263.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3981.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3617.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2642.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2585.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2433.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2295.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2150.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
238.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
65.5
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-ATP8 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
19339.1
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
76136.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
69506.3
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
66678.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
41592.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
37635.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
37594.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
37510.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
37282.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
35048.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
34538.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
34470.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
34383.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
32691.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
30947.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
30859.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
30292.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
30038.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
29721.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
28486.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
28084.7
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
27712.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
25806.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
25638.4
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
25593.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
25257.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
25097.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
24007.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
23617.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
23434.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
23198.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
22809.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
22729.3
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
22431.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
22376.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
21780.9
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
21565.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
20748.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
20282.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
20093.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
19629.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
18701.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
18663.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
18116.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
18036.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
17935.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
17933.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
17885.1
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
17591.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
17332.1
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
17249.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
16966.9
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
16604.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
16454.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
16443.0
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
16350.6
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
16230.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
16082.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
15976.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
15806.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
15785.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
15663.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
15132.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
15131.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
14793.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
14663.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
14520.3
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
14341.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
13391.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
13382.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
13076.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
12263.7
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
12055.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
11865.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
11768.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
11750.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
11583.9
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
11249.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
10915.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
10777.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
10239.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
9671.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
9620.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
9213.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8830.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
8057.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7825.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
4924.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
4258.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3130.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2586.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2585.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2548.4
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2536.5
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2484.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2140.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1903.0
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1468.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1148.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
865.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ATP8 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16260.7
Number of samples
282
Samples
Sample
Description
TPM
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
56353.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
53537.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
52712.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
48591.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
47550.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
43044.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
42590.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
42574.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
40212.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
38913.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
37287.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
36954.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
36224.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
35019.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
34673.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
34425.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
34357.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
34081.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
34003.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
32806.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
31436.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
31190.1
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
30392.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
30268.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
29795.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
29689.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
28848.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
28841.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
28820.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
28526.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
28223.9
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
28216.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
28206.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
28188.5
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
28169.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
27987.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
27985.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
27688.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
27642.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
27397.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
27011.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
26913.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
26822.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
26742.4
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
26480.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
25908.3
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
25703.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
25553.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
25320.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
25306.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
25268.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
25118.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
25026.1
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
24959.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
24700.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
24630.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
24213.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
23815.4
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
23806.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
23750.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
23680.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
23638.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
23396.7
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
23117.8
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
22772.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
22671.5
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
21992.4
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
21895.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
21842.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
21600.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
21439.6
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
21079.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
21075.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
20937.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
20872.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
20846.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
20646.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
20578.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
20529.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
20444.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
20205.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
20178.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
19877.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
19773.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
19759.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
19731.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
19723.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
19678.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
19322.0
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
19241.2
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
19218.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
18791.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
18641.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
18565.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
18401.6
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
18327.4
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
18318.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
18090.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
18012.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
17943.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
17911.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
17860.8
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
17817.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
17786.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
17735.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
17643.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
17440.1
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
17287.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
17210.6
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
16973.6
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
16434.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
16417.2
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
16381.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
16365.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
16220.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
16218.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
16071.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
16002.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
15944.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
15779.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
15718.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
15712.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
15522.3
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
15357.7
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
15257.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
15225.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
15164.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
15164.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
15122.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
15110.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
14908.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
14865.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
14828.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
14764.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
14719.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
14677.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
14662.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
14619.5
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
14329.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
14318.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
14297.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
14287.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
14241.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
14179.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
14069.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
14019.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
13869.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
13808.7
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
13673.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
13588.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
13486.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
13486.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
13398.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
13352.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
13326.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
13219.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
13120.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
13034.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
12964.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
12850.2
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
12837.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
12750.6
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
12686.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
12680.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
12467.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
12465.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
12402.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
12367.6
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
12264.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
12087.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
12078.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
12027.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
11973.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
11911.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
11861.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
11857.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
11816.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
11767.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
11764.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
11638.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
11410.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
11353.4
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
11339.9
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
11303.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
11184.9
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
11129.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
11062.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
10993.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
10982.4
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
10872.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
10838.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
10663.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
10448.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
10438.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
10173.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
10093.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
9860.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
9725.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
9700.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
9698.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
9662.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
9503.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
9350.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
9339.7
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
9304.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
9226.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
8989.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
8971.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
8939.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
8921.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
8792.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
8698.5
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
8680.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
8662.6
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
8634.4
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
8611.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
8580.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
8499.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
8461.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
8457.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
8421.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
8403.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
8369.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
8357.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
8094.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
7925.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
7870.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
7862.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7803.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
7730.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
7691.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
7285.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7247.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
7238.9
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
7161.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
7028.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
6740.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
6709.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
6705.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
6475.9
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
6452.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
6413.9
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
6338.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
6227.4
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6216.3
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
6098.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
6040.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
6038.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
6023.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
5945.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5715.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5646.6
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5606.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5584.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
5123.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
5099.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4925.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4918.1
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4830.2
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4775.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
4512.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
4342.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4028.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3975.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3966.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3909.7
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3844.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3354.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3293.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3224.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3014.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2714.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2427.5
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2427.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2248.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2009.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1857.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1253.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
657.1
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
400.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
317.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
210.8
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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
