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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 potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
20213.0
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
47931.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
45380.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
44477.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
39687.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
37484.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
32614.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
32333.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
30934.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
28670.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
28574.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
28354.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
28242.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
26981.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
26303.5
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
25612.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
25337.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
24307.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
24266.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
24184.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
24124.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
23824.0
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
22399.0
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
22274.5
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
21736.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
21586.5
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
21142.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
19874.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
19683.2
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
18904.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
18712.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
18250.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
18200.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
17898.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
17785.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
17758.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
17586.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
17294.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
17166.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
16805.6
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
16069.7
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
16065.5
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
15556.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
15510.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
15055.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
14932.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
14917.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
14432.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
14380.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
14366.0
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
14330.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
13871.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
13390.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
13057.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
12195.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
12165.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
11898.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
11624.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
11087.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
9240.9
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
7633.2
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
6457.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
5578.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4898.7
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 TPM
8178.1
Number of samples
521
Samples
Sample
Description
TPM
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
29006.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
28295.7
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
27419.8
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
27408.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
26782.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
26781.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
26572.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
25511.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
25225.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
24833.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
24812.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
24572.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
24458.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
24290.9
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
22453.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
22431.4
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
21272.1
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
21164.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
20648.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
20091.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
19885.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
19826.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
19196.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
19110.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
18896.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
18613.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
18105.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
18092.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
17680.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
17678.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
17425.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
17181.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
17037.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
16773.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
16442.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
16137.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
16112.0
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
16103.7
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
16069.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
16039.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
15816.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
15331.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
15321.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
15300.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
15284.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
15173.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
15120.4
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
15041.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
15038.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
15013.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
14907.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
14898.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
14866.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
14797.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
14754.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
14704.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
14611.4
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
14503.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
14236.1
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
14234.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
14163.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
14134.0
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
14124.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
14025.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
13885.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
13765.5
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
13573.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
13555.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
13547.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
13499.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
13425.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
13398.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
13346.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
13250.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
13244.0
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
13202.4
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
13123.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
13090.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
13068.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
12809.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
12794.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
12786.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
12777.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
12757.0
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
12748.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
12728.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
12592.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
12544.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
12470.0
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
12431.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
12310.8
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
12295.4
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
12231.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
12156.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
12062.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
11927.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
11746.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
11605.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
11555.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
11506.8
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
11486.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
11480.8
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
11398.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
11357.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
11335.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
11325.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
11306.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
11196.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
11190.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
11108.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
11055.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
10910.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
10868.3
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
10772.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
10766.1
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
10755.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
10706.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
10613.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
10585.2
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
10539.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
10516.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
10496.4
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
10467.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
10433.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
10422.7
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
10390.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
10359.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
10348.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
10318.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
10285.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
10205.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
10153.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
10148.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
10112.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
10098.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
10096.6
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
10094.3
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
10038.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
9984.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
9974.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
9956.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
9953.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9940.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
9923.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
9913.1
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
9885.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
9812.8
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
9809.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
9775.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
9757.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
9744.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
9680.6
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
9669.4
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
9646.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
9622.4
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
9527.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
9523.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
9507.9
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
9481.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
9479.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
9476.3
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
9297.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
9253.6
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
9196.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
9167.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
9163.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
9153.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
9099.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
9083.3
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
9052.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
9041.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
8947.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
8915.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
8913.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
8911.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
8907.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
8852.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
8801.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
8731.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
8721.2
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
8693.4
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
8665.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
8599.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
8577.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
8572.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
8541.9
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
8537.7
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
8497.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
8463.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
8419.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8392.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
8353.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
8348.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
8319.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
8240.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
8211.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
8211.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
8190.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
8143.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
8129.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
8123.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
8076.5
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
8034.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
8014.3
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
8013.6
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
7999.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
7955.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
7946.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
7946.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
7912.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
7907.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
7882.5
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
7873.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
7830.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
7814.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
7775.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
7775.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
7742.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
7722.1
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
7709.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
7688.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
7658.1
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
7632.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
7602.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
7565.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7562.0
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
7553.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
7509.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
7488.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
7483.6
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
7434.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
7431.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
7427.6
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
7398.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
7395.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
7381.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
7356.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
7337.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
7327.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
7325.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
7303.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
7280.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
7248.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
7242.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
7227.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7225.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
7223.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
7207.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
7191.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
7171.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
7149.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7132.7
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7093.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
7092.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
7027.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
7006.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
7002.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
7001.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
7000.4
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
6963.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
6882.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6872.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
6860.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
6850.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
6838.0
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
6802.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6719.0
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
6717.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6713.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
6640.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
6639.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
6624.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
6622.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
6621.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6603.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
6596.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
6581.6
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
6570.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6570.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
6564.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6534.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
6494.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
6493.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
6486.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
6466.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6422.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
6415.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
6398.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
6394.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
6387.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6355.0
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
6352.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
6312.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
6308.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
6267.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
6238.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6203.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6190.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6118.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
6114.1
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
6081.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
6032.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6028.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6018.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6003.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
5980.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
5971.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
5963.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
5957.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
5954.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
5948.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
5934.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
5925.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5908.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
5902.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5826.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
5819.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5815.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
5809.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
5807.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5771.3
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5769.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
5760.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5748.1
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
5725.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
5718.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
5689.4
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
5659.5
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5655.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
5645.9
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5635.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
5619.7
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5615.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
5608.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
5606.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5542.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
5534.5
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5516.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5424.7
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5404.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
5394.6
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
5392.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5334.7
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
5330.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
5330.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5308.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
5288.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5260.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
5236.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5218.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5193.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
5159.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
5154.5
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5144.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5144.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
5130.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5129.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5093.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
5085.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5074.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5056.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
5055.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
5043.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5042.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5015.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5012.5
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5009.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
5009.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4941.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4918.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
4914.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4913.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
4888.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4883.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4868.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4841.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4836.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4832.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
4816.8
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4774.0
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4768.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
4708.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
4704.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4679.8
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4676.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4673.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4666.6
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4650.1
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4645.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4636.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4624.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4608.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4607.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4601.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4576.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
4576.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4572.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
4567.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
4557.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
4553.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4521.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4505.8
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4488.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4485.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4466.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
4456.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4434.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
4408.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
4393.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4383.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4374.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4281.7
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
4281.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4260.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
4230.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4223.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4214.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4213.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
4192.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4179.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
4137.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
4136.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4131.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4120.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4078.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4062.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4053.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4046.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4024.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3996.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3991.9
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
3955.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3925.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3920.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3909.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3900.3
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3898.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3884.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3798.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3791.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3745.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3742.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3740.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3711.9
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3693.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3682.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3681.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3659.1
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3632.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3577.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3553.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3531.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3525.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3523.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3506.4
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3492.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3488.1
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3484.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3457.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3451.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3429.5
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3393.1
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3380.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3374.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3360.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3344.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3333.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3327.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3317.9
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3283.8
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3278.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3227.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3206.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3205.2
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3173.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3165.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3144.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3142.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3085.1
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3083.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3069.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3066.2
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3027.2
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3016.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2984.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2934.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2923.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
2901.0
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2869.1
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2835.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
2695.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2689.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2666.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2631.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2626.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2604.5
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2593.2
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2567.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2560.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2514.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2459.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2410.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2399.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2346.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2249.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2229.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2077.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
1994.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1883.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
1758.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
1641.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1608.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1517.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1385.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1043.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
922.0
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
890.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
714.2
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
395.4
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
87.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-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 TPM
6727.7
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
33189.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
24036.7
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
23438.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
17492.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
14563.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
14079.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
13887.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
12962.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
11120.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
11064.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
11001.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
10884.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
10034.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
9764.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
9467.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
8930.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
8890.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
8869.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
8812.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
8756.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
8736.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
8453.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
8374.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
8153.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
8131.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
8087.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
7958.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7938.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
7890.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
7846.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
7564.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
7438.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
7329.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
7296.4
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
6980.1
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
6916.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
6716.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
6704.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
6672.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
6614.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
6565.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
6474.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
6371.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6324.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
6223.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
6090.5
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6037.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
5741.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5725.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5331.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5308.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5306.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
5212.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
5153.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5101.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
5001.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4999.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4929.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4913.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4896.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4884.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4849.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
4823.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4776.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
4766.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
4742.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4661.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4652.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4482.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4419.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4347.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4246.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4236.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4165.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4091.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
4023.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4021.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3874.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3754.5
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3574.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
3528.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3471.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
3423.3
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3416.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3320.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3283.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3204.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3196.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3046.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2989.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2954.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2590.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2580.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2531.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2387.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2352.9
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1121.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
827.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
215.4
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 potential prognostic, high expression is favorable in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
11202.0
Number of samples
282
Samples
Sample
Description
TPM
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
48910.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
40435.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
37878.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
35985.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
33309.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
33218.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
32308.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
30878.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
30794.7
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
30785.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
27493.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
26887.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
26786.6
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
26762.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
26526.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
26349.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
25631.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
25430.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
24923.1
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
24892.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
24875.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
24606.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
24602.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
23700.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
23515.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
23401.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
23371.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
22787.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
22413.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
21993.5
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
21852.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
21735.7
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
21347.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
21291.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
21185.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
20979.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
20964.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
20623.3
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
20467.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
19975.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
19799.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
19753.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
19590.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
19369.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
19108.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
18718.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
18611.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
18420.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
18322.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
17706.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
17701.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
17591.7
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
17588.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
17583.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
17516.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
17336.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
17253.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
17155.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
16974.5
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
16590.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
16419.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
16361.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
16337.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
15691.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
15393.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
15147.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
14924.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
14924.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
14834.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
14799.5
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
14754.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
14588.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
14473.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
14458.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
14287.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
14011.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
13917.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
13876.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
13673.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
13664.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
13647.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
13588.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
13453.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
13275.5
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
13073.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
12889.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
12843.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
12809.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
12750.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
12721.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
12673.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
12664.6
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
12406.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
12309.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
12071.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
12041.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
11944.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
11833.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
11833.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
11699.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
11672.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
11661.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
11563.1
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
11415.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
11397.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
11362.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
11355.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
11342.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
11280.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
11208.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
11124.0
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
11002.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
10992.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
10911.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
10851.8
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
10813.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
10711.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
10667.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
10655.4
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
10643.3
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
10626.4
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
10504.9
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
10454.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
10433.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
10377.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
10370.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
10344.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
10261.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
10136.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
9966.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
9930.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
9904.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
9851.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
9694.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
9647.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
9592.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
9577.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
9515.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
9422.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
9388.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
9316.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
9252.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
9216.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
8940.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
8913.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
8599.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
8551.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
8546.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
8528.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
8424.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
8397.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
8349.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
8333.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
8325.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
8300.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
8256.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
8218.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
8109.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
8049.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
7968.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
7939.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
7876.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
7857.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
7811.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
7751.7
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
7723.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
7600.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
7525.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
7514.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
7369.0
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
7355.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
7276.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
7276.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
7272.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
7147.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
7032.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
7023.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
6912.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
6905.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
6869.7
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
6797.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
6764.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
6753.0
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
6741.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
6717.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
6692.7
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
6658.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
6553.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
6437.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
6430.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6412.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
6359.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
6257.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
6160.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
6137.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6112.2
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
6076.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
6056.1
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
6021.4
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5925.5
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
5922.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
5884.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
5875.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5845.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
5821.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5805.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
5740.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
5739.7
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5726.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5669.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
5505.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5462.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5436.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
5417.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5368.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5280.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
5269.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
5269.8
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5219.8
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
5214.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5135.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4998.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
4964.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4762.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4730.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
4647.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4606.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4596.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4574.6
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4563.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4497.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4376.0
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
4321.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4252.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4171.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4170.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4160.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
4082.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3992.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3990.0
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3927.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3829.3
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3819.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3618.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3578.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3545.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3490.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3460.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3459.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
3446.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3382.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3303.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3256.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3219.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3216.2
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3167.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3121.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3117.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3112.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3033.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3024.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2721.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2656.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2637.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2552.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2506.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2476.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2452.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2415.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2334.7
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2309.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2289.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2243.4
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2098.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1949.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1947.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
1920.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1714.1
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1485.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1266.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1169.3
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
632.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.