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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-CYB 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
23699.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
57559.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
54695.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
53835.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
47662.9
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
41131.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
36011.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
35837.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
35265.9
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
34857.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
34471.2
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
31663.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
31585.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
30786.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
29609.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
29429.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
28847.8
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
28538.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
27916.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
27073.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
27011.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
26876.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
26731.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
25921.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
25577.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
24891.6
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
24826.9
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
24490.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
24477.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
23739.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
23097.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
22666.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
22648.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
22207.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
20815.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
20351.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
20242.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
20092.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
19907.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
19130.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
19066.6
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
19004.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
18327.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
18172.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
18124.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
17668.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
17575.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
17062.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
16812.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
16384.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
16152.1
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
15949.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
15760.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
15232.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
14918.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
14831.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
14743.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
14061.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
13878.8
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
10535.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
8815.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
7725.7
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
7424.3
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5773.6
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-CYB 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
9791.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
32739.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
31869.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
31551.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
31041.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
30792.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
29760.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
29602.3
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
29505.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
29270.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
29176.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
28111.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
28030.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
27974.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
26951.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
26782.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
25470.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
25136.0
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
24796.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
24525.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
24392.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
23299.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
23244.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
22858.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
22276.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
22029.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
21919.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
21260.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
21252.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
21038.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
20734.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
20508.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
20501.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
20236.2
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
20082.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
19958.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
19611.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
19495.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
18988.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
18787.4
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
18670.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
18416.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
18337.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
18328.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
18321.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
18196.7
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
18190.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
18084.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
18022.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
18009.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
17889.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
17813.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
17782.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
17593.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
17538.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
17453.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
17348.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
17296.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
17152.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
16987.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
16968.1
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
16893.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
16834.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
16698.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
16682.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
16618.6
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
16434.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
16433.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
16404.2
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
16168.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
15953.5
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
15835.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
15824.0
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
15814.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
15745.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
15689.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
15675.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
15630.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
15592.6
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
15542.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
15508.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
15472.0
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
15463.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
15376.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
15301.9
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
15269.8
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
15169.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
15139.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
14936.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
14917.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
14855.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
14634.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
14622.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
14557.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
14245.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
14211.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
14053.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
13900.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
13894.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
13892.7
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
13778.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
13774.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
13744.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
13564.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
13542.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
13517.1
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
13505.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
13469.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
13388.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
13277.5
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
13266.6
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
13196.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
13170.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
13114.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
13084.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
13068.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
13043.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
13040.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
12933.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
12814.5
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
12711.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
12673.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
12669.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
12653.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
12632.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
12583.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
12493.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
12487.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
12482.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
12461.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
12455.5
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
12425.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
12388.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
12360.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
12333.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
12225.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
12213.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
12135.1
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
12116.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
12081.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
12061.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
11958.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
11953.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
11907.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
11879.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
11819.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
11755.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
11651.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
11648.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
11594.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
11562.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
11559.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
11549.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
11522.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
11483.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
11459.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
11408.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
11403.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
11378.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
11343.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
11231.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
11216.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
11179.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
11144.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
10967.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
10963.0
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
10955.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
10926.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
10892.9
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
10881.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
10863.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
10851.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
10830.7
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
10779.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
10750.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
10696.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
10686.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
10654.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
10638.1
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
10617.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
10603.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
10581.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
10545.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
10531.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
10491.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
10484.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
10416.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
10404.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
10359.9
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
10244.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
10203.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
10142.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
10097.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10082.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
10026.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
10021.0
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
9996.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
9968.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
9935.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
9868.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
9854.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
9849.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
9821.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
9804.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
9759.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
9607.9
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
9604.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
9580.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
9555.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
9549.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
9548.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
9497.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9467.0
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
9443.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
9427.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
9420.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9355.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
9347.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
9331.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
9324.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
9290.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
9272.4
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
9255.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
9183.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9164.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
9109.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
9082.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
9025.1
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
9011.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8955.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
8928.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
8925.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
8915.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
8899.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
8887.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8877.8
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
8851.7
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
8820.1
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
8814.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
8798.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
8790.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
8786.4
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
8766.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
8746.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
8741.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
8701.9
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
8688.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
8686.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
8669.3
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
8655.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
8651.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
8648.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
8643.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
8617.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
8616.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
8596.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
8576.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
8526.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
8503.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
8471.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
8470.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
8425.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
8412.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
8384.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
8347.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
8338.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
8323.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
8278.9
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8259.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
8234.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
8211.5
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
8211.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8200.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
8183.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
8183.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
8100.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
7995.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
7985.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
7948.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7917.2
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
7896.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
7896.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
7881.7
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
7849.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
7831.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
7777.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
7755.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
7736.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
7735.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
7716.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
7707.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
7705.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
7692.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
7687.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
7610.7
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
7610.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
7606.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
7529.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
7470.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
7445.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
7437.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
7424.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
7422.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
7421.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
7386.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
7380.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
7365.8
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
7357.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
7295.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
7278.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7226.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
7197.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7190.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
7184.2
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
7158.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
7148.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
7126.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7126.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7115.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
7063.7
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
7062.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
7043.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
7029.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
7022.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
7006.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6978.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
6972.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
6916.8
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
6906.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6876.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6837.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6795.9
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
6759.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6739.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6721.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
6715.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6702.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
6695.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
6691.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
6659.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6648.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
6626.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
6625.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6611.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
6539.3
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
6537.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
6460.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
6455.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6439.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
6437.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
6433.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
6431.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6358.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
6343.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
6322.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
6291.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6259.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
6251.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
6245.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6232.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6177.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
6174.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
6141.1
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
6133.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
6104.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6053.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
6042.4
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6041.8
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
6029.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5993.5
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
5993.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5985.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5985.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5972.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5948.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5934.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
5920.0
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
5914.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5885.0
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5869.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5867.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5809.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5801.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5786.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
5778.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
5767.8
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5722.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5710.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
5654.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5647.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5634.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5621.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5604.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5580.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
5557.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
5546.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5546.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
5523.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5520.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5504.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
5477.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5477.1
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5442.9
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
5418.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5412.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
5402.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5342.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
5338.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5333.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5322.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
5285.9
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
5266.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5210.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
5188.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
5140.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5130.5
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5102.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5093.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5086.3
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
5073.6
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
5045.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4994.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4991.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4981.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
4973.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
4954.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4945.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4937.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4926.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4910.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4872.8
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4855.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4839.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4788.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4785.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4771.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
4769.3
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4704.9
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
4697.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4632.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4619.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4606.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4591.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4576.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4558.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4558.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4500.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4472.9
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
4455.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4408.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4406.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4402.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4388.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4362.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4346.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4345.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4286.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4259.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4254.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
4230.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4201.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
4155.3
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4121.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4071.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4069.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
4052.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3997.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3994.0
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3950.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3928.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3923.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3914.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3864.3
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3855.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3818.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3800.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3795.8
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3761.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3751.0
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3731.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3712.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3698.7
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3664.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3647.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3634.5
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3626.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3596.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3579.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3548.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3457.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3391.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3386.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3344.6
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3310.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3234.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3182.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3167.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3158.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3156.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3140.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3122.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2992.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2921.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2865.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2849.5
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2809.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2676.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2675.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2406.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2294.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
2130.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2027.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1938.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1823.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1662.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1348.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1191.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1160.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
858.8
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
569.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
119.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CYB 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
8129.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
37453.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
28455.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
25812.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
20934.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
17119.5
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
16767.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
16272.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
15295.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
13584.6
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
13574.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
13236.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
12946.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
12426.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
11858.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
11444.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
10876.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
10747.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
10640.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
10574.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
10368.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
10195.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
10168.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
10099.2
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
10013.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
9951.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
9944.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
9693.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9560.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
9487.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
9319.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
9275.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
9071.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
8935.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
8882.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
8528.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
8382.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
8353.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
8298.6
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
8137.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
7990.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
7975.3
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
7918.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
7698.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
7679.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
7652.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7509.5
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
7421.5
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
7046.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
6999.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
6827.0
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6791.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6640.5
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
6461.9
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
6426.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
6392.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6304.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
6293.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6259.8
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
6149.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6065.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
6041.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
6004.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
5902.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
5883.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
5817.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
5810.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
5807.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5604.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
5419.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5348.0
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5265.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5255.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
5195.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5116.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5026.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4987.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4962.9
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
4749.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4638.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4366.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4363.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4263.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
4259.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
4197.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
4054.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3978.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3970.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3874.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3775.9
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3621.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3616.9
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3243.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3225.3
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3145.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3045.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2931.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1386.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1056.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
265.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CYB 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
13696.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
62400.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
48939.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
47958.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
40937.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
40076.7
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
39690.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
39184.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
38950.2
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
38569.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
37287.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
35858.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
34386.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
34325.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
33289.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
33076.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
32271.1
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
31010.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
30403.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
29952.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
29693.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
29665.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
29547.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
29203.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
28987.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
28683.7
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
27909.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
27791.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
27399.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
27284.1
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
27062.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
26649.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
26199.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
25304.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
25030.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
24705.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
24686.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
24608.5
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
24352.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
24195.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
23966.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
23935.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
23606.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
23467.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
23275.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
22865.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
22838.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
22804.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
22590.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
22417.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
22320.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
22307.7
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
22254.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
22011.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
21877.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
21180.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
20704.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
20468.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
20448.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
20436.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
20391.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
19614.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
19425.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
19344.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
19299.4
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
19118.2
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
19098.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
18536.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
18516.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
18195.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
17940.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
17593.0
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
17432.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
17410.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
17407.3
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
17201.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
17156.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
17051.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
17037.5
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
16818.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
16692.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
16512.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
16504.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
16405.0
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
16275.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
16181.3
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
15841.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
15781.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
15772.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
15671.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
15311.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
15306.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
15187.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
15170.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
14987.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
14985.4
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
14972.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
14754.7
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
14732.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
14536.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
14461.5
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
14401.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
14317.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
14261.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
14152.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
14020.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
14005.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
13926.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
13832.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
13782.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
13642.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
13627.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
13569.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
13473.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
13468.5
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
13374.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
13365.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
13235.7
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
13173.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
13108.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
13093.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
13077.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
13027.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
12794.3
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
12582.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
12519.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
12465.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
12456.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
12373.6
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
12247.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
12229.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
12160.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
12038.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
12014.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
11989.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
11983.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
11922.0
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
11728.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
11667.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
11623.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
11496.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
11485.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
11383.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
11374.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
11314.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
11258.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
11150.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
11024.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
10945.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
10891.2
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
10715.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
10327.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
10301.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
10228.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
10167.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
10124.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
9966.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
9942.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
9939.5
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
9863.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
9855.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
9788.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
9721.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
9683.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
9585.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
9460.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
9414.6
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
9258.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
9134.7
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
9082.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
9073.0
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
9053.6
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
9005.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
8983.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
8920.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
8857.9
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
8754.7
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
8402.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
8346.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
8297.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
8292.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
8238.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
8089.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
8080.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
8053.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
8037.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
8018.6
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
8017.8
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
7982.2
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
7852.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
7780.3
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
7773.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
7713.2
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
7681.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
7643.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
7640.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
7572.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
7555.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
7442.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
7414.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
7402.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
7327.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
7302.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
7298.2
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
7256.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
7255.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
7219.0
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
7214.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
7140.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7095.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
6950.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
6934.7
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
6920.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
6813.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
6718.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
6707.4
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
6704.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
6594.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6578.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6379.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
6345.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
6149.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
6049.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5972.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5966.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
5945.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
5822.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
5677.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
5676.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
5536.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5490.9
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5481.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5404.9
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5304.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
5248.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5183.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
5181.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5119.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5093.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
5084.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
5072.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4810.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
4687.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4618.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
4495.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4425.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4384.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
4372.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4292.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4243.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4208.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4084.7
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
4082.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
4054.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3951.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3926.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3920.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3888.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3819.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3816.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3759.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3740.2
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3666.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3255.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3232.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3187.9
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3161.9
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3140.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3017.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2999.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2933.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2933.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2848.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2674.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2583.8
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2375.9
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2310.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2285.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2016.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1799.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1496.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1365.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
789.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
