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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.
GAPDH is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3508.1
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
17406.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
15862.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
10550.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
10005.8
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
8170.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
7292.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
5105.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
4608.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
4293.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
4293.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4042.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
3989.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
3746.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
3683.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3683.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
3597.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
3533.1
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
3472.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
3448.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3418.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3197.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
3102.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3089.2
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
3055.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2998.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2991.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2984.3
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2873.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2800.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2745.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2731.4
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2711.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2676.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2658.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2593.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2559.7
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2488.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
2455.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2453.8
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
2406.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2373.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
2367.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2340.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2258.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
2251.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2236.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2186.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2176.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
2004.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1911.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1891.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1842.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1841.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1823.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1786.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1746.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
1717.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1600.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1588.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1577.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1438.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1395.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1242.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 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.
GAPDH is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6224.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
16916.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
16913.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
16135.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
15830.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
15465.9
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
15362.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
15309.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
15010.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
14828.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
14769.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
14140.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
13950.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
13612.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
13545.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
12959.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
11916.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
11888.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
11810.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
11724.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
11680.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
11477.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
11441.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
11294.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
11184.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
11088.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
10972.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
10938.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
10854.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
10831.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
10781.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
10730.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
10694.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
10531.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
10511.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
10459.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
10457.6
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
10401.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
10268.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10245.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
10227.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
10160.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
10060.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
10018.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
9866.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
9829.1
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
9763.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
9651.7
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
9605.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
9589.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
9475.5
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
9443.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
9410.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
9230.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
9216.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
9192.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
9183.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9167.9
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
9137.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
9101.2
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
9084.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
9075.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
9016.0
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
8995.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
8988.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
8988.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
8871.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
8849.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
8809.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
8807.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
8769.4
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
8759.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
8719.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
8696.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
8664.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
8648.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8647.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
8642.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
8609.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8600.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8587.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
8505.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
8481.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8461.6
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
8442.9
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
8442.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
8423.2
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
8417.9
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
8412.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
8404.1
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
8381.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
8361.7
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
8315.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
8301.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
8295.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
8216.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
8167.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
8166.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
8117.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
8115.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
8114.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
8104.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
7956.9
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
7925.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
7921.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
7883.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7848.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7838.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
7836.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
7836.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
7831.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
7817.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
7788.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
7786.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7784.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
7777.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
7768.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
7754.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7744.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7742.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
7733.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
7732.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7731.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
7716.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
7700.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
7666.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7620.0
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
7583.9
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
7566.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
7531.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7528.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
7519.1
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
7518.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7514.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
7509.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
7494.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
7486.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
7465.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
7451.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
7440.0
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
7439.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
7433.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
7413.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
7373.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
7369.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
7306.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
7258.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7249.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
7150.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
7150.2
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7149.5
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
7138.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
7131.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
7102.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
7095.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
7086.6
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
7038.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
7034.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
7032.1
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
7026.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
7021.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6999.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
6967.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6919.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
6911.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
6901.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
6900.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
6895.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6865.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
6852.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6847.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6832.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
6830.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6827.6
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6811.8
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
6811.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6811.1
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
6772.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6763.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
6751.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6746.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
6725.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6721.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
6696.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
6689.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6663.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
6662.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
6656.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
6639.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
6634.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
6630.7
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6622.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
6618.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6615.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
6603.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
6589.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
6560.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6547.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
6538.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
6535.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
6525.8
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6518.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
6491.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
6491.6
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
6461.3
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
6459.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
6455.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
6453.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
6446.9
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6426.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6420.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
6420.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
6410.8
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6397.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
6366.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6360.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
6355.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6348.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
6332.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
6327.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6310.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
6304.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6302.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
6277.5
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6268.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6266.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
6235.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6220.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
6208.4
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
6183.5
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
6138.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
6138.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
6129.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
6113.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6110.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
6108.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
6097.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
6097.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
6090.0
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
6060.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
6057.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
6042.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
6036.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
6025.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
5981.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
5973.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
5968.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
5965.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
5961.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5956.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
5943.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
5931.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
5925.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
5922.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
5909.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5857.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
5857.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5834.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5829.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
5827.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
5782.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5756.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
5755.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
5753.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
5749.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
5740.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
5699.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
5688.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
5676.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
5640.2
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5625.9
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
5617.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
5615.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5614.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5608.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5601.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
5601.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
5592.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
5591.6
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
5590.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
5571.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
5570.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
5539.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
5528.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5510.3
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
5487.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
5487.0
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
5478.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
5454.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
5448.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
5443.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
5439.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
5426.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
5413.8
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
5404.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
5403.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
5398.8
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
5375.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5362.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
5360.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
5344.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
5344.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5339.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5335.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5333.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5332.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
5317.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5283.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
5283.1
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
5280.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5277.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5277.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
5277.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5261.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
5250.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5233.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5229.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
5227.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
5225.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
5222.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5219.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
5216.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5211.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5211.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
5197.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
5196.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
5196.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5189.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
5187.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5169.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
5165.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
5160.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
5156.3
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5144.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5142.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5139.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
5130.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
5104.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
5091.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
5078.8
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5076.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5076.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
5056.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5046.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
5030.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
5029.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
5026.1
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
5017.4
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5004.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4988.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4955.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4942.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
4917.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4917.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4913.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
4900.1
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
4861.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4859.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4828.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
4812.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
4808.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
4796.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4764.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
4756.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
4744.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
4742.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4725.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4721.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
4720.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
4717.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
4700.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
4677.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
4665.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4634.9
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
4614.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4610.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4604.5
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4600.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4598.8
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4586.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4583.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
4577.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4574.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4561.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
4550.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4549.0
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4548.0
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4524.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4523.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4521.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
4519.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4518.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4512.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4507.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4507.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4470.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4459.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4449.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
4448.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
4439.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4422.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4417.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
4403.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4396.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4396.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4392.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4380.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4372.5
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
4367.5
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4359.2
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4355.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
4352.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
4349.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4337.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4312.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
4291.6
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4287.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
4282.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
4259.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4208.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
4203.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4172.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4165.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
4162.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4134.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
4063.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4049.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4030.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
4016.4
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4002.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
4002.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3994.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3991.8
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3976.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3954.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3945.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3934.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3926.9
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3909.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
3905.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3900.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3886.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3869.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3862.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3854.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3835.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3832.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3829.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3761.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3755.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3752.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3742.9
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3731.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3729.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3717.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3697.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3685.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3658.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3635.5
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3615.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3612.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3604.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3589.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3540.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
3538.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3536.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3518.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
3502.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3496.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3496.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3442.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3435.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3322.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3294.3
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3259.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3256.8
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3253.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3238.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3177.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
3098.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3038.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3017.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2993.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2980.2
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2961.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2945.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2918.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2885.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
2882.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2881.7
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2879.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2868.5
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
2834.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2818.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2777.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2738.3
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2706.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2682.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2678.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2671.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2617.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2604.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2550.4
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2461.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
2420.0
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2361.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2314.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2296.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2254.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2059.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2046.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1980.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1743.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1682.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1675.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1628.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1575.0
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1553.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1516.9
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1456.2
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1163.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 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.
GAPDH is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4760.7
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
18083.5
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
13509.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
10724.0
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
10278.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
9688.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
9450.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
9205.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
9042.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
8771.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
8042.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
7696.8
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
7448.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
6769.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6764.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
6732.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
6362.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6308.1
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6266.0
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6134.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
5962.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5955.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5884.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5764.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
5715.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5560.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
5544.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5422.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5346.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
5343.6
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5243.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5191.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
5102.7
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4978.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4819.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
4763.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
4671.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
4607.6
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4575.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4560.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
4440.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4395.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
4362.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4331.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4254.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4246.3
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4232.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4223.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
4150.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4097.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
4053.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4014.8
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3997.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3989.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3948.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3912.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
3841.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
3812.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3799.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3772.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3748.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3714.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3648.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3621.1
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3598.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3591.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3533.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3525.5
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3401.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3380.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3328.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3327.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3275.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3266.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3265.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3250.2
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
3234.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3231.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3177.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3137.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3130.3
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3099.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3035.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2987.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2924.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2870.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2853.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2839.0
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2760.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2720.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2693.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2665.4
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2599.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2559.0
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2554.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2532.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2429.7
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1934.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1826.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1739.2
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 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.
GAPDH is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
7341.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
88560.1
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
45864.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
43719.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
41719.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
40720.0
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
38509.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
35919.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
35160.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
34939.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
30880.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
30321.3
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
28908.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
27561.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
27456.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
27110.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
25994.1
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
22779.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
18499.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
18495.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
18133.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
17361.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
14953.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
14944.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
14167.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
14149.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
13836.7
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
13359.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
12343.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
11439.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
11435.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
11020.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
11007.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
10473.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
10100.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
10087.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
9981.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
9903.7
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
9810.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
9320.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
9199.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9048.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
8898.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
8888.3
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
8877.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
8673.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
8628.1
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
8329.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
8318.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
8300.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
8228.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
8090.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
8089.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
7807.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
7774.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
7734.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
7673.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
7659.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
7635.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
7547.8
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7479.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
7468.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
7388.3
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
7318.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
7269.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
7183.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
7173.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
7073.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
7066.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
7011.9
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
6912.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
6864.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6823.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
6801.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
6718.1
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
6621.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
6591.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
6565.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
6475.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
6414.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
6367.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
6299.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
6260.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
6245.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
6243.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
6217.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
6182.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
6152.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6117.3
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
6025.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
6024.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5992.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
5945.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
5913.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5899.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
5831.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5829.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
5773.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
5762.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5740.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
5691.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
5674.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5633.6
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
5633.6
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5632.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
5622.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
5594.3
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
5588.4
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
5550.5
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
5517.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
5514.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
5488.0
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
5462.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5429.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
5420.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
5412.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
5393.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
5364.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5338.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
5310.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
5285.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
5267.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5227.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5227.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
5223.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5185.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5160.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
5141.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
5103.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
5087.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
5082.8
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
5078.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5053.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
4966.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4937.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4928.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4904.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
4894.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4878.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4869.0
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
4868.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
4863.1
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
4858.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
4854.9
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
4818.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4794.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4772.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4757.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
4721.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4686.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4684.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4679.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
4678.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4664.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
4661.4
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
4660.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4658.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4649.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4637.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4606.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4574.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4560.1
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
4556.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
4555.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4539.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4521.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
4500.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4423.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
4415.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
4406.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
4403.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
4400.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
4389.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
4358.9
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
4353.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
4318.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4304.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
4299.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4259.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
4241.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4237.7
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4204.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
4182.7
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
4176.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
4174.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
4162.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4147.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4100.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
4096.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
4066.4
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4016.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4001.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3979.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3965.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
3962.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3959.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3947.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3941.5
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3933.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
3916.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3910.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
3878.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3845.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3842.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3840.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3840.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
3832.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3821.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
3796.8
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
3779.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3759.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3748.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3731.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3727.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
3715.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3689.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3673.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3670.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3627.3
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
3623.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3622.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3618.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3600.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
3571.4
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3569.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
3548.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3538.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3508.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
3455.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3408.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
3401.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
3387.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
3387.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3360.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3329.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3303.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
3302.2
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3297.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
3282.5
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
3229.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
3204.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
3166.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3127.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
3104.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3102.2
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
3063.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3057.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2979.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2962.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2945.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2935.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2900.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2867.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2859.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2854.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2846.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2840.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
2824.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2820.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2817.3
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2813.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2752.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2694.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2664.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
2656.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
2636.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2604.2
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
2589.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2526.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2456.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2446.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
2440.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2417.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2404.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2280.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2153.5
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2138.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2118.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2092.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2041.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1967.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1964.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1807.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0076330003
Tumor
1.0
CPT0021240003
Tumor
1.0
CPT0012900004
Tumor
0.9
CPT0012550003
Tumor
0.9
CPT0009000003
Tumor
0.9
CPT0065930003
Tumor
0.8
CPT0081880003
Tumor
0.8
CPT0010160003
Tumor
0.8
CPT0025050003
Tumor
0.7
CPT0086030003
Tumor
0.7
CPT0086950003
Tumor
0.7
CPT0025230003
Tumor
0.7
CPT0077310003
Tumor
0.7
CPT0069000003
Tumor
0.6
CPT0019990003
Tumor
0.6
CPT0063630003
Tumor
0.6
CPT0089460004
Tumor
0.6
CPT0025880003
Tumor
0.6
CPT0071150004
Tumor
0.6
CPT0012080003
Tumor
0.6
CPT0006630003
Tumor
0.6
CPT0007860003
Tumor
0.6
CPT0001340003
Tumor
0.6
CPT0079480003
Tumor
0.6
CPT0024670003
Tumor
0.6
CPT0025290003
Tumor
0.5
CPT0023350003
Tumor
0.5
CPT0014160003
Tumor
0.5
CPT0025110003
Tumor
0.5
CPT0000870016
Tumor
0.5
CPT0077490003
Tumor
0.5
CPT0086820003
Tumor
0.5
CPT0079270003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0065690003
Tumor
0.5
CPT0078930003
Tumor
0.5
CPT0092290003
Tumor
0.4
CPT0012280003
Tumor
0.4
CPT0065750003
Tumor
0.4
CPT0063320003
Tumor
0.4
CPT0001500009
Tumor
0.4
CPT0006440003
Tumor
0.4
CPT0000780007
Tumor
0.4
CPT0092790003
Tumor
0.4
CPT0025580004
Tumor
0.4
CPT0000640003
Tumor
0.4
CPT0012370003
Tumor
0.4
CPT0087040003
Tumor
0.4
CPT0011240003
Tumor
0.4
CPT0088690003
Tumor
0.4
CPT0002350011
Tumor
0.3
CPT0084560003
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0001180009
Tumor
0.3
CPT0079380003
Tumor
0.3
CPT0089020003
Tumor
0.3
CPT0014370004
Tumor
0.3
CPT0006900003
Tumor
0.3
CPT0015730003
Tumor
0.3
CPT0023690003
Tumor
0.3
CPT0064370003
Tumor
0.3
CPT0065810003
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0025350003
Tumor
0.2
CPT0066470004
Tumor
0.2
CPT0078830003
Tumor
0.2
CPT0078990003
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0066480003
Tumor
0.2
CPT0001540009
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0088900003
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0092730003
Tumor
0.1
CPT0088760003
Tumor
0.1
CPT0069160003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0001260009
Tumor
0.1
CPT0077110003
Tumor
0.1
CPT0078510003
Tumor
0.1
CPT0079180003
Tumor
0.1
CPT0079230003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0001220008
Tumor
0.0
CPT0079410003
Tumor
0.0
CPT0017410003
Tumor
0.0
CPT0086360003
Tumor
0.0
CPT0075560003
Tumor
0.0
CPT0007320003
Tumor
0.0
CPT0002270011
Tumor
0.0
CPT0075130003
Tumor
-0.1
CPT0085670003
Tumor
-0.1
CPT0092160003
Tumor
-0.1
CPT0075720003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0076350001
Normal
-0.1
CPT0078660003
Tumor
-0.1
CPT0065870003
Tumor
-0.2
CPT0012570003
Normal
-0.2
CPT0078840001
Normal
-0.2
CPT0017850003
Tumor
-0.2
CPT0088970003
Tumor
-0.2
CPT0077500001
Normal
-0.2
CPT0012180003
Tumor
-0.3
CPT0087050003
Normal
-0.3
CPT0024680001
Normal
-0.3
CPT0077140001
Normal
-0.3
CPT0065450001
Normal
-0.3
CPT0009080003
Normal
-0.3
CPT0092800003
Normal
-0.3
CPT0088920001
Normal
-0.3
CPT0012770003
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0010110003
Tumor
-0.3
CPT0079430001
Normal
-0.3
CPT0078530001
Normal
-0.3
CPT0009020003
Normal
-0.3
CPT0079510001
Normal
-0.3
CPT0069010001
Normal
-0.3
CPT0013790003
Normal
-0.3
CPT0086970003
Normal
-0.3
CPT0006950001
Normal
-0.3
CPT0000890001
Normal
-0.3
CPT0025610001
Normal
-0.3
CPT0088630003
Tumor
-0.3
CPT0010170001
Normal
-0.3
CPT0081620001
Normal
-0.3
CPT0092310003
Normal
-0.4
CPT0012920003
Normal
-0.4
CPT0089040001
Normal
-0.4
CPT0078800003
Tumor
-0.4
CPT0026420001
Normal
-0.4
CPT0014470001
Normal
-0.4
CPT0089480003
Normal
-0.4
CPT0023710001
Normal
-0.4
CPT0064400001
Normal
-0.4
CPT0023360001
Normal
-0.4
CPT0075570001
Normal
-0.4
CPT0082010001
Normal
-0.4
CPT0020020001
Normal
-0.4
CPT0088780001
Normal
-0.4
CPT0066430001
Normal
-0.4
CPT0001550001
Normal
-0.4
CPT0007470001
Normal
-0.4
CPT0014350001
Normal
-0.4
CPT0018250001
Normal
-0.4
CPT0020130001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0025060001
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0006730001
Normal
-0.4
CPT0092740003
Normal
-0.4
CPT0009060003
Tumor
-0.4
CPT0086370003
Normal
-0.4
CPT0088710001
Normal
-0.4
CPT0002370001
Normal
-0.4
CPT0019160001
Normal
-0.4
CPT0066520001
Normal
-0.4
CPT0086870003
Tumor
-0.4
CPT0088570001
Normal
-0.4
CPT0078670001
Normal
-0.5
CPT0001350001
Normal
-0.5
CPT0079000001
Normal
-0.5
CPT0007870001
Normal
-0.5
CPT0017450001
Normal
-0.5
CPT0010120001
Normal
-0.5
CPT0086890003
Normal
-0.5
CPT0063640001
Normal
-0.5
CPT0088640003
Normal
-0.5
CPT0025920001
Normal
-0.5
CPT0012290003
Normal
-0.5
CPT0088500001
Normal
-0.5
CPT0063330001
Normal
-0.5
CPT0088550004
Tumor
-0.5
CPT0006530001
Normal
-0.6
CPT0069190001
Normal
-0.6
CPT0086830003
Normal
-0.6
CPT0001190001
Normal
-0.6
CPT0014130001
Normal
-0.6
CPT0001510001
Normal
-0.6
CPT0092190003
Normal
-0.6
CPT0077320001
Normal
-0.6
CPT0001230001
Normal
-0.7
CPT0065820001
Normal
-0.7
CPT0012640003
Normal
-0.7
CPT0079300001
Normal
-0.7
CPT0000660001
Normal
-0.7
CPT0084590001
Normal
-0.7
CPT0075170001
Normal
-0.7
CPT0001270001
Normal
-0.7
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
