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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.
: 6.62
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0035
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.
68%
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.
100%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2928.9
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
14101.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
12740.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
8013.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
7039.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
6139.3
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6096.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
4510.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
4140.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
3578.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3430.0
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
3389.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
3353.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3228.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
3173.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
3148.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
3131.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
3035.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2964.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
2830.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2811.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2803.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2718.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2684.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2660.5
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2616.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2559.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2553.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
2442.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2417.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2410.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2402.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2392.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2371.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2340.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2273.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2253.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
2250.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2221.9
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2190.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2074.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2055.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2022.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2006.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1954.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1917.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1880.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1833.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1777.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1666.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1638.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1636.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1591.2
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1574.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1533.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1498.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1473.1
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1442.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
1430.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1363.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1272.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1239.8
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1193.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1026.2
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.
: 3.29
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000040
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.
48%
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.
68%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5159.6
Number of samples
521
Samples
Sample
Description
TPM
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
14351.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
14147.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
14025.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
13313.5
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
13257.2
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
12968.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
12306.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
12201.1
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
12180.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
12147.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
12027.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
11507.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
11449.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
11413.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
11059.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
10119.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9988.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
9805.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
9669.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
9575.3
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
9506.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
9505.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
9490.9
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
9220.6
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
9188.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
9078.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
9054.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
8991.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
8935.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
8928.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8914.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
8711.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
8694.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
8688.8
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
8672.7
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
8649.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
8625.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
8599.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
8547.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8524.8
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
8465.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
8387.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
8362.2
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
8246.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
8224.3
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
8051.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7986.9
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
7955.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7900.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
7877.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
7837.0
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
7767.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
7682.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
7648.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7623.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
7620.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
7582.2
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
7579.4
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
7539.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7518.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
7510.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
7451.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
7443.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
7441.2
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
7423.4
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
7401.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
7395.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7388.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
7351.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
7335.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
7319.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
7201.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
7195.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
7111.9
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7097.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
7088.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
7078.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7071.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
7057.4
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7049.4
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7038.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
7035.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
7018.8
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7014.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
7000.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
6993.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
6975.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
6961.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
6947.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
6933.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6891.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
6862.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
6846.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6838.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6800.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6794.3
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6773.4
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
6744.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
6743.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
6724.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
6714.8
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
6695.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6679.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
6677.5
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
6676.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6649.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
6617.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
6617.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
6554.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
6545.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
6490.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
6479.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
6455.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6452.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
6443.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
6440.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
6427.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
6419.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
6414.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
6404.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
6382.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
6380.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
6369.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
6332.2
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6306.8
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
6300.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6284.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6271.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
6269.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
6262.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
6261.5
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6261.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
6254.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6254.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
6232.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6221.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6221.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
6219.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
6213.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6163.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6156.3
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6153.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
6120.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6116.3
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6091.6
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
6081.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
6039.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
6038.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6029.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5995.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
5988.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5983.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
5973.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5962.5
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5950.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5886.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
5886.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5882.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5879.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5866.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5831.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
5797.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5768.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
5760.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
5752.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
5748.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5742.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5724.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
5723.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
5698.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
5693.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5680.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5676.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
5654.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
5638.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
5635.8
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5632.8
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5609.4
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5594.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5592.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
5587.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
5583.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
5580.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
5578.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
5569.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
5562.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5554.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
5547.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
5526.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5518.5
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
5512.7
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
5499.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5494.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5478.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5470.9
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5451.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
5433.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5429.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5422.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
5396.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
5386.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5377.7
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
5369.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
5366.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5346.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
5336.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5335.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
5331.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
5325.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
5318.7
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5304.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5292.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5290.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
5284.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
5274.7
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
5261.4
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
5250.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
5214.9
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5207.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
5187.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5177.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5177.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
5171.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
5168.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
5163.5
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
5150.5
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
5133.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
5124.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
5116.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
5088.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
5069.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
5057.4
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
5055.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
5047.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5043.9
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5023.1
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
5019.3
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
5017.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
5005.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
4990.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
4985.3
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4982.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4971.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
4965.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4960.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
4958.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4958.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4953.0
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4904.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4903.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4896.6
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
4875.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4865.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
4861.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
4861.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
4852.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4843.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4831.2
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4830.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4830.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4809.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4802.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
4786.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
4785.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4763.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
4759.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4747.9
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4740.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4736.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4722.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
4698.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4696.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
4680.6
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
4671.4
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
4669.4
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4651.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
4648.3
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4622.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
4617.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4615.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4603.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4601.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4595.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
4590.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4585.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4552.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
4552.7
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
4538.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
4521.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
4519.7
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
4514.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4514.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4513.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
4510.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
4484.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
4484.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
4472.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4464.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
4446.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4436.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4428.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
4415.9
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4415.8
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4415.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4415.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4401.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4386.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4372.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4358.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4356.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4350.5
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4349.9
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4341.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4341.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4333.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4333.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
4330.3
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
4318.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
4311.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4309.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4307.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
4295.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4293.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4291.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4286.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
4282.1
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4272.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4268.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4244.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4241.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4240.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4236.8
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
4234.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4224.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4222.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4217.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4215.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4191.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4186.9
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4183.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
4165.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
4163.4
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
4150.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4137.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4136.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
4132.3
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4124.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4114.8
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4109.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4096.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4094.0
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4091.2
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4090.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4024.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
4017.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4012.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4002.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3981.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3974.0
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3966.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3953.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3944.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3934.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3912.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3911.6
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3905.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3898.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3874.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3870.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3868.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3844.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3842.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3839.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3822.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3820.4
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3816.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3810.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
3783.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3765.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3764.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3753.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3751.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3749.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3748.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3742.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3730.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
3729.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3721.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3703.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3693.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3689.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3678.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3672.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3671.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3660.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3647.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3646.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3631.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3628.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3627.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3623.3
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3619.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3615.7
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3614.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
3610.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3580.5
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3557.3
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3547.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3542.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3541.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3531.3
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
3530.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3507.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3490.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3487.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3465.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3437.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3437.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3426.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3396.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3391.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3375.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3365.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3364.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3363.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3360.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
3360.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3340.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3327.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3323.5
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3318.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3312.5
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3306.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3286.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3284.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3257.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3244.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3214.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3210.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3207.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3207.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3193.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3181.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
3176.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3173.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3165.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3158.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3139.5
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3117.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3106.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3102.0
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3082.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3061.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3052.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3025.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3004.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2999.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2980.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2975.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2972.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2927.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2927.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2906.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2898.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2891.4
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2861.3
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2860.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2839.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2784.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2775.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2774.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2770.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2729.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2711.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
2659.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2656.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2621.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2607.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2572.0
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2543.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2541.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2536.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2517.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2449.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
2431.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
2426.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2349.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2340.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2330.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2290.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2276.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2266.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2255.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2204.9
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2200.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2199.5
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2166.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2160.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2158.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
2150.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2135.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2133.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2098.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2094.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2063.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2050.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2034.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
1838.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1781.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1720.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1673.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1486.9
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1466.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1438.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1417.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1395.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1347.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1343.0
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1312.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
973.9
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.
: 4.15
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0017
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.
62%
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.
87%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3888.5
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
14398.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
11001.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
8862.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
8556.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
7841.0
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
7666.2
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
7375.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
7337.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
7255.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6718.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
6226.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5841.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5659.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5505.9
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
5490.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5235.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5210.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5132.0
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5064.4
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4816.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4814.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4788.9
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4785.5
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4663.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
4650.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4595.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4412.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4341.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4276.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
4221.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4180.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4036.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3944.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3943.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3919.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3899.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3799.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3794.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3739.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3722.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3645.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3619.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3577.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3572.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3568.2
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3511.4
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
3479.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3392.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3362.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3357.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3307.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3282.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
3244.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3232.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3201.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
3151.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3112.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3090.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3054.8
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3052.8
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3012.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2931.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2930.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2920.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2898.0
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2831.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2796.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2774.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2737.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2733.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2729.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2689.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2682.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2679.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2661.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2654.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2646.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2575.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2558.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2541.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2519.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2450.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2412.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2407.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2337.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2285.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2255.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2230.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2218.0
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2216.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2129.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2128.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2100.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2050.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2042.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2031.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1756.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1548.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1406.1
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.
: 2.11
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.026
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.
67%
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.
79%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5830.2
Number of samples
282
Samples
Sample
Description
TPM
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
66230.8
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
35315.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
34529.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
30986.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
28970.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
27101.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
26952.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
26149.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
25761.4
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
23074.8
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
22624.3
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
21709.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
21653.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
21643.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
19361.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
18714.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
17118.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
14061.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
13810.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
13743.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
11938.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
11803.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
11382.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
10760.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
9941.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
9816.4
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
9788.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
9328.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
9238.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
9159.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
8907.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8589.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
8338.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
8247.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
8238.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
8175.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
7976.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
7965.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
7949.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
7726.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
7522.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
7515.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7292.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7282.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
7192.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
7172.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
7060.1
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
6782.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
6759.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
6673.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
6649.2
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
6637.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
6621.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
6618.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
6495.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
6326.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
6107.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
6104.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6082.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
6062.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5985.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5942.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5942.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
5924.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
5894.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5894.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
5849.5
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5817.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5774.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
5594.4
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5557.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5518.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
5486.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
5440.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5438.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
5433.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
5401.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5387.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
5363.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
5354.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
5351.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
5292.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
5195.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5193.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
5133.7
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
5110.2
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
5093.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5085.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
4970.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
4942.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4921.1
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4898.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
4879.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4873.3
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4868.7
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
4830.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4828.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
4796.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
4782.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4769.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4766.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4749.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4702.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4697.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
4688.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
4676.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4660.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4659.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4605.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4601.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
4592.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4558.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
4522.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
4484.6
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
4484.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
4475.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4473.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
4462.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4371.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
4363.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4347.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
4345.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
4285.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
4284.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
4282.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
4260.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4231.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
4230.6
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4202.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
4171.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
4162.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4159.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4124.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4115.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4101.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4089.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
4082.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4074.8
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4071.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
4068.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4056.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
4048.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4033.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4025.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4010.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3957.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3943.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3939.0
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
3930.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
3902.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3887.2
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
3876.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
3866.5
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3822.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3818.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3818.3
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3814.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
3807.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3801.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3793.4
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
3785.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3742.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3724.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3694.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3676.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3674.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
3672.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3666.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3644.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3644.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
3633.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
3598.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3583.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3561.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3548.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
3538.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
3511.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3503.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3495.4
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3488.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3459.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3417.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3410.9
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3393.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3391.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3385.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
3362.6
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3341.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3336.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3332.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3330.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3325.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3320.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
3304.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
3301.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
3296.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3287.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
3268.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3242.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3226.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3224.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
3221.5
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3218.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3212.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3211.9
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3202.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3184.8
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3175.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3169.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3162.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
3122.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3090.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
3071.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
3069.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3068.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3057.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3021.4
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3016.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2979.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2978.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2962.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2938.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2905.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2893.8
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2888.7
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2876.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2872.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2861.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2859.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2816.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2814.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2797.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2771.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2768.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2730.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
2686.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2672.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2668.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2615.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2611.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2611.3
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2574.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
2540.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2540.5
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2537.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2524.7
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2513.5
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2512.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2497.8
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2492.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2489.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
2470.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2461.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2376.9
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
2356.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2307.8
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2271.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2271.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2245.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2221.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2210.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2207.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2194.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2156.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2139.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2112.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
2066.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2056.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
2008.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1986.7
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1912.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1883.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1864.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1818.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1793.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1742.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1705.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1674.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1659.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1558.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1515.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1459.8
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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.