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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-ND3 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
29237.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
91054.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
71334.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
60140.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
53450.8
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
48521.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
47017.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
46228.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
45575.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
42795.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
42687.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
41913.7
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
41322.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
40521.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
38920.6
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
38443.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
37552.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
37244.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
36722.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
36458.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
34884.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
32637.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
31998.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
31709.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
30889.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
30850.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
30599.6
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
29447.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
29033.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
29032.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
28949.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
27987.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
27539.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
26415.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
26299.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
25480.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
24654.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
24522.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
24441.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
24095.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
23568.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
22293.6
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
22137.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
21678.3
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
21293.5
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
21149.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
20635.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
20485.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
19829.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
19259.8
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
17604.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
17163.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
16994.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
15761.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
15642.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
14540.7
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
14220.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
13831.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
13771.4
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
12860.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
12298.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
11426.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
7051.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
5949.5
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-ND3 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
15874.5
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
52344.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
51876.7
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
51445.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
50590.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
50129.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
49268.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
48540.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
48295.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
43342.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
42927.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
42797.7
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
42608.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
41431.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
41255.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
40834.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
40604.1
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
39033.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
38432.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
37927.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
37129.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
36683.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
35900.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
35509.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
35415.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
34673.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
34506.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
34328.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
34175.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
33683.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
33617.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
33351.6
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
32891.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
32678.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
32458.1
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
32247.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
32234.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
32097.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
31861.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
31780.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
31630.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
31457.4
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
31276.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
31251.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
31063.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
31039.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
30945.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
30823.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
30821.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
30383.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
30284.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
29957.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
29928.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
29922.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
29525.0
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
29240.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
29054.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
29046.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
28891.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
28795.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
28234.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
28151.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
28123.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
28025.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
27907.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
27608.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
27570.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
27487.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
27225.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
27091.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
26593.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
26545.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
26525.7
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
26496.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
26309.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
26276.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
26211.7
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
26156.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
26074.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
26056.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
25917.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
25812.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
25635.0
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
25370.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
25211.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
25062.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
25061.9
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
24725.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
24723.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
24690.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
24666.6
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
24602.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
24204.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
24132.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
23865.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
23708.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
23592.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
23543.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
23310.0
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
23106.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
22992.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
22964.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
22942.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
22925.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
22888.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
22836.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
22710.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
22597.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
22593.3
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
22516.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
22498.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
22457.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
22266.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
22230.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
22198.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
22168.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
22057.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
22051.9
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
21870.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
21750.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
21700.8
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
21675.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
21148.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
21124.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
21065.4
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
20903.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
20902.1
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
20833.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
20731.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
20708.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
20609.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
20302.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
20118.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
20042.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
20018.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
20012.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
19998.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
19980.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
19878.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
19767.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
19696.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
19494.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
19281.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
19045.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
18735.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
18711.3
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
18576.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
18500.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
18470.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
18413.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
18342.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
18328.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
18197.7
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
18063.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
18003.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
17991.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
17979.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
17807.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
17791.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
17743.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
17723.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
17627.0
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
17136.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
17107.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
17065.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
17017.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
16986.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
16906.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
16799.4
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
16745.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
16716.2
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
16687.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
16661.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
16656.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
16620.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
16604.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
16523.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
16522.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
16502.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
16497.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
16389.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
16353.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
16304.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
16279.4
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
16183.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
16180.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
16129.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
16088.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
16029.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
16000.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
15897.7
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
15829.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
15828.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
15827.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
15820.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
15803.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
15795.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
15724.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
15708.8
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
15697.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
15616.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
15600.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
15600.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
15520.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
15475.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
15443.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
15321.1
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
15284.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
15239.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
15229.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
15203.5
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
15162.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
15152.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
15146.1
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
15130.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
15124.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
15081.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
15068.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
14989.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
14846.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
14807.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
14800.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
14737.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
14732.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
14708.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
14704.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
14609.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
14590.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
14562.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
14557.5
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
14514.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
14435.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
14422.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
14393.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
14391.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
14371.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
14259.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
14211.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
14167.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
14100.3
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
14088.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
14077.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
14021.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14001.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
13992.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
13991.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
13990.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
13989.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
13911.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
13882.1
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
13678.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
13678.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
13646.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
13642.7
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
13600.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
13576.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
13444.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
13429.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
13412.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
13395.9
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
13368.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
13344.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
13302.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
13302.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
13266.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
13234.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
13225.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
13179.8
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
13061.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
13056.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
12998.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
12857.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
12847.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
12811.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
12789.4
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
12648.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
12645.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
12606.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
12599.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
12566.9
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
12558.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
12556.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
12538.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
12506.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
12423.0
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
12336.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
12252.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
12220.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
12199.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
12157.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
12110.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
12072.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12040.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
11978.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
11954.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
11913.0
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
11891.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
11866.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
11841.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
11836.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
11802.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
11784.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
11767.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
11748.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
11742.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
11734.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
11733.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
11726.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
11631.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
11624.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
11548.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
11545.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
11533.1
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
11465.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
11423.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
11383.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
11382.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
11332.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
11304.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
11242.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
11167.2
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
11160.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
11139.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
11136.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
11073.5
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
11044.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
11023.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
10990.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
10987.5
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
10961.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
10949.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
10947.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
10911.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
10902.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
10896.3
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
10778.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
10746.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
10709.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
10703.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
10670.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
10668.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10550.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
10545.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
10452.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
10345.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
10341.6
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
10339.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
10336.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
10299.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
10289.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
10262.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
10246.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
10224.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10209.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
10179.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
10167.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
10117.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
10108.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
10059.2
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
10039.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
10000.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
9957.1
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
9886.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
9878.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
9852.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
9848.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
9843.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
9825.2
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
9789.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
9781.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
9750.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
9734.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
9727.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
9714.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
9712.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
9698.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
9672.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
9657.3
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
9646.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
9597.2
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
9593.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
9493.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
9464.6
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
9393.7
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
9330.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9297.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
9266.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
9125.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
9105.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
9089.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
9073.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
8977.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
8956.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8946.1
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
8943.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
8942.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
8882.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
8855.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
8804.4
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
8789.0
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
8787.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
8775.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
8766.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
8744.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
8743.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8695.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
8651.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
8635.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
8633.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
8590.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8590.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
8562.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
8547.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
8503.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
8493.7
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
8472.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
8382.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
8306.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
8263.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
8237.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
8231.7
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
8216.3
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
8197.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
8168.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8164.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
8102.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
8040.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
8035.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
7958.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
7953.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
7932.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
7908.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
7902.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7860.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7857.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
7788.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
7755.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
7754.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
7728.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7703.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
7666.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
7629.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
7574.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
7542.2
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
7460.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7420.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7417.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
7399.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
7347.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7296.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7262.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
7258.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7255.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
7194.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
7188.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7188.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7176.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
7173.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7167.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
7163.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
7120.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7096.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
7070.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
7064.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7025.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
7023.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
7020.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6959.8
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6928.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6918.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
6913.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
6903.0
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6836.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6829.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
6765.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6758.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
6739.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6718.1
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
6640.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6594.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6505.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
6414.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
6126.9
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6118.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6068.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5953.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5927.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5884.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5863.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5852.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5746.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5721.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5697.4
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5676.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5489.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5486.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5409.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5384.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5244.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
5230.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
5186.9
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
5123.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5071.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5043.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4717.2
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4650.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
4637.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4532.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4473.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4307.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4226.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4048.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3930.9
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3538.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3321.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2431.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2292.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1923.2
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1633.2
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1329.3
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
182.8
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-ND3 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
11730.7
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
39248.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
29473.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
28240.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
27921.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
26641.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
24953.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
24937.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
23525.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
23298.4
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
19769.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
19591.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
19486.9
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
18381.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
17625.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
17467.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
16187.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
16187.4
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
15285.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
15015.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
14838.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
14749.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
14574.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
14099.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
14082.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
14045.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
14018.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
13862.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
13694.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
13509.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
13148.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
13098.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
12948.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
12730.9
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
12572.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
12509.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
12460.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
12232.5
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
11773.8
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
11701.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
11697.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
11678.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
11658.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
11632.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
11542.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
11277.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
11190.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
10788.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
10776.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
10702.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
10575.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
10502.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
10435.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
10350.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
10209.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
10032.1
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
9971.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
9949.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
9906.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
9665.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
9501.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
9382.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
9005.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
8934.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
8855.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
8744.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
8648.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
8522.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
8515.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
8177.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
8000.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8000.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
7945.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
7786.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
7759.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
7578.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
7282.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
7166.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6928.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
6913.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6840.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
6752.9
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
6572.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6523.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
6482.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
6270.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
6255.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6201.9
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
6181.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6070.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
5553.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5471.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5196.0
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5135.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
4737.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4497.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4410.1
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3490.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1274.0
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-ND3 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
21028.1
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
76112.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
68510.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
64120.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
62672.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
58572.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
56340.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
54954.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
52754.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
50785.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
49971.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
49731.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
49404.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
46931.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
45655.2
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
45192.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
44129.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
43677.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
42621.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
42084.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
41761.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
41062.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
40442.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
39924.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
39919.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
39913.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
39777.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
39681.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
39529.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
39496.9
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
39112.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
38397.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
38116.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
36363.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
36033.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
35990.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
35651.9
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
35227.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
34966.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
34960.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
34908.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
34224.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
34043.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
34004.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
33650.2
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
32468.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
32053.6
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
31895.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
31447.3
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
31163.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
30947.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
30867.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
30866.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
30853.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
30683.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
30616.4
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
30136.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
29894.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
29712.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
29697.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
29588.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
29579.8
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
29563.6
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
29462.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
29420.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
29286.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
29272.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
29172.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
28782.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
28488.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
28398.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
28251.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
28204.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
28155.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
28023.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
27896.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
27606.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
27533.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
27292.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
26943.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
26929.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
26683.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
26662.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
26505.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
26191.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
26121.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
25963.4
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
25917.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
25641.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
25596.7
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
25218.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
25045.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
24960.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
24466.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
24401.5
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
24374.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
24271.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
24030.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
23819.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
23640.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
23624.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
23562.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
23072.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
22884.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
22789.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
22753.9
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
22617.7
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
22430.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
22252.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
22165.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
22082.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
22075.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
22052.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
22015.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
21897.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
21890.3
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
21876.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
21867.3
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
21573.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
21543.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
21367.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
21158.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
21150.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
20561.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
20559.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
20493.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
20466.1
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
20384.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
20187.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
19937.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
19666.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
19281.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
19209.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
19122.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
18981.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
18632.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
18566.7
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
18513.0
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
18414.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
18171.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
18078.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
18060.4
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
18054.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
18036.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
18007.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
17893.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
17786.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
17643.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
17613.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
17516.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
17502.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
17265.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
17257.1
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
17210.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
17003.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
16846.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
16636.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
16631.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
16619.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
16534.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
16489.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
16303.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
16147.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
16006.6
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
15858.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
15832.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
15753.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
15604.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
15489.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
15447.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
15384.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
15358.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
15232.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
14867.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
14650.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
14619.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
14609.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
14276.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
14168.0
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
14086.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
14019.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
13971.3
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
13734.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
13565.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
13536.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
13487.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
13439.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
13422.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
13397.4
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
13322.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
13307.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
13257.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
13136.2
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
13102.0
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
12985.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
12914.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
12909.1
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
12907.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
12885.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
12866.4
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
12862.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
12833.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
12687.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
12386.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
12269.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
12210.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
12163.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
12121.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
11989.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
11982.7
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
11938.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
11811.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
11623.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
11599.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
11550.8
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
11537.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
11313.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
10942.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
10921.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
10894.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
10756.7
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
10701.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
10694.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
10493.4
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
10454.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
10311.2
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
10086.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
9939.3
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
9927.0
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
9766.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
9727.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
9724.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
9645.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
9590.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9478.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
9440.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
9415.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
9236.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
9149.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
9024.9
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
8930.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
8783.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
8677.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
8242.4
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
8072.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
8013.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
7942.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
7916.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
7742.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
7651.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
7507.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
7472.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7309.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
7216.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
7079.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
7046.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
6760.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
6715.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6624.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
6574.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6301.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
6203.7
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
6142.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5964.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
5835.1
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5786.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
5468.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5096.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5008.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
4551.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4305.6
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
4216.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4147.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3825.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3792.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
3432.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3367.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2842.3
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2546.8
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2458.2
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2421.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2409.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1891.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
