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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.
FTL is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2684.5
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
15765.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
12014.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
6815.3
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
5070.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
3947.7
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
3923.1
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
3758.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
3547.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3535.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
3506.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3398.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3364.0
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3341.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3232.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3214.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
3195.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
3191.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3145.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3003.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
2953.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2910.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2863.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2759.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2660.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2659.4
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2635.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2482.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
2469.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2469.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2411.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2345.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2231.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2218.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2182.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
2096.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2081.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2065.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1960.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1854.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1828.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
1775.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1713.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1673.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1672.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1616.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1615.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1611.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1559.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1504.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1492.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1461.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1461.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1250.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1222.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1211.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1117.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1109.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1082.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1028.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
919.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
728.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
715.7
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
697.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 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.
FTL is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5105.8
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
23818.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
19173.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
18045.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
17821.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
17659.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
15826.9
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
15633.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
15045.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
15042.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
14993.2
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
13814.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
13526.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
13175.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
13064.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
12965.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
12583.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
12396.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
11811.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
11697.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
11015.0
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
10950.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
10569.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
10539.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
10481.5
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10440.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
10371.5
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
10274.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
10244.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
10124.8
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
10118.9
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
10029.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
9896.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
9781.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
9677.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
9635.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
9615.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
9404.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
9371.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
9311.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
9298.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
9170.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9159.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
9058.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
8992.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8951.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
8738.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
8666.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
8613.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
8584.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
8571.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
8436.9
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
8403.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
8284.7
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
8273.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
8236.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
8200.2
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
8186.0
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
8166.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
8148.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
8132.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7821.8
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
7750.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7698.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
7641.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
7612.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
7597.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
7583.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
7535.0
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
7532.1
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7501.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
7483.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
7440.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
7415.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
7402.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7358.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
7343.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
7298.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7259.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
7249.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7112.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7107.5
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
7079.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
7078.6
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
7042.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7034.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
7020.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
7003.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
6999.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6989.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
6975.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6966.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
6935.4
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
6841.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
6825.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
6759.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
6751.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
6731.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
6721.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
6673.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6666.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
6659.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
6657.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
6642.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6640.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6616.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
6612.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
6600.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
6588.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
6580.8
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
6572.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
6569.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
6559.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6553.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6550.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6493.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6472.7
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
6422.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
6391.2
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6374.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
6365.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
6343.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
6341.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
6275.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6274.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
6268.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
6259.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
6249.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6212.3
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
6209.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
6202.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
6170.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6170.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
6103.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
6054.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
5938.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5904.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5860.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
5850.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5833.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5833.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5815.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
5783.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
5733.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5711.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
5709.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5709.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
5666.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5665.2
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
5661.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5660.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
5639.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5636.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5592.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
5588.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5571.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
5518.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
5514.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
5508.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5492.0
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
5475.6
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5453.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5442.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
5425.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
5423.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5417.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
5403.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5389.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5373.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
5372.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
5358.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5315.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5314.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5300.1
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5299.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5288.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
5246.2
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
5231.2
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5231.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
5216.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
5213.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
5207.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
5190.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5181.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5172.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
5165.2
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5164.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5148.4
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5133.7
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
5129.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5125.8
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
5124.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
5123.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5118.7
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
5113.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
5110.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
5107.1
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
5089.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5088.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
5079.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
5053.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5046.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
5017.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5011.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5006.6
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
4994.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
4977.1
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4966.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4929.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
4904.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4903.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
4884.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4858.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4797.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4790.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4785.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
4783.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
4782.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4779.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
4736.1
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4731.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4729.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4723.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4723.0
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4719.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
4707.4
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4705.0
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
4699.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4690.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4656.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4653.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
4643.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
4635.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4619.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4602.8
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4586.5
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
4578.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4561.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
4553.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
4545.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4533.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4527.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
4518.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
4505.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4502.9
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
4498.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4483.2
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4473.1
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4467.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
4462.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4452.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4447.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4445.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4436.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
4430.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4425.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4419.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
4411.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
4408.5
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
4406.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4406.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4403.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
4399.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4387.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
4373.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
4367.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
4363.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4354.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
4351.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4331.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4326.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
4321.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
4321.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4318.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4317.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
4296.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4284.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4275.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4250.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4246.7
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
4242.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4240.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4236.5
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4234.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4227.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4221.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4210.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4185.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4180.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4173.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4166.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4164.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4155.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4148.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4145.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
4140.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4131.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4125.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4122.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4113.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4111.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4087.8
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4066.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4052.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4051.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4038.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4028.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4027.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4025.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
3999.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3997.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3991.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3985.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3982.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3975.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3970.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3964.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3935.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3933.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3932.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3924.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3890.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3888.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3883.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3882.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3874.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3873.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
3861.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3858.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3857.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3851.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3833.4
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3826.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3816.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3812.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3797.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3767.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3762.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3758.9
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3758.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3755.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3750.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3750.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3720.3
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3720.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3717.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3717.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3709.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3704.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3700.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3699.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3673.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3656.5
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3652.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3643.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3642.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3641.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3622.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
3584.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3547.6
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3547.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3544.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3541.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3534.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3534.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3509.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3507.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3503.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3496.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3492.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3483.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3474.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3463.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3462.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3436.4
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3436.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3426.2
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3415.4
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3404.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3399.3
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3385.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3378.7
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3365.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3363.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3353.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3344.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3344.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3344.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3343.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3327.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3320.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3316.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3314.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3312.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3291.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3281.9
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3266.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3260.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3260.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3259.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3235.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3235.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3233.9
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3232.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3214.5
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3208.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3202.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3195.7
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3185.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3182.7
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3182.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3177.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3164.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3153.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3150.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3142.2
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3129.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3116.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3113.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3097.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3089.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3084.7
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3082.0
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3077.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3064.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3060.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3044.4
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3039.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3033.2
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3032.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3024.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3023.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3017.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3002.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3000.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2991.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2948.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2946.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2946.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2940.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2932.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2928.6
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2926.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2889.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2886.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2877.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2854.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2850.5
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2848.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2845.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2842.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2840.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2839.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2827.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2826.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2808.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2806.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2757.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2741.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2730.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2721.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2694.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2649.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2640.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2635.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2603.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2601.1
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2579.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2574.2
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2572.5
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2561.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2548.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2532.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2525.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2521.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2502.9
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2497.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2496.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2477.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2473.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2470.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2453.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2416.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2393.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2379.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2353.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2336.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2334.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2333.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2260.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2254.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2242.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2241.5
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2199.7
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2186.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2168.9
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2140.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2102.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2085.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2066.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2066.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2038.7
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
2031.5
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2027.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2021.0
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2008.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1991.1
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1990.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1981.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1881.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
1855.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
1843.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1693.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1584.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1565.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1537.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1486.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1439.8
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1214.7
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1153.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
778.0
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.
FTL is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5018.6
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
25909.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
16104.0
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
12707.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
11563.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
11008.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
10716.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
10077.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
9127.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
8652.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
8578.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
8414.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
7805.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
7636.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
7342.9
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7023.8
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
6821.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
6737.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
6606.2
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6543.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6425.7
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6368.5
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
6341.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
6270.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6155.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
5859.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5671.8
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
5392.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5343.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
5338.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
5198.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
5092.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5043.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
5016.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
5003.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4969.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4935.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
4906.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
4841.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4821.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4818.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
4813.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
4809.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
4733.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4732.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4633.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4508.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4355.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
4306.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4250.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4110.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
4026.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4016.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3986.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3928.2
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3920.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3849.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3847.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3827.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3728.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3697.6
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3617.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3576.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3574.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3535.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3519.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
3517.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3473.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3427.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3424.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3332.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3330.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3317.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3304.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3230.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3065.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3036.7
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3014.9
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3005.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2911.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2861.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2837.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2804.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2801.9
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2734.1
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2615.3
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2587.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2580.0
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
2491.7
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2488.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2472.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2460.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2440.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2382.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2317.1
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2224.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2126.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2118.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2107.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2061.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 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.
FTL is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7152.4
Number of samples
282
Samples
Sample
Description
TPM
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
43182.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
37854.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
33727.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
32659.3
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
30032.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
29784.4
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
27951.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
27876.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
26526.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
26028.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
25592.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
24590.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
24478.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
23814.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
23722.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
22908.6
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
19883.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
19557.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
19279.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
19214.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
18908.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
18760.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
18482.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
17727.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
17314.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
15803.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
15780.1
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
15659.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
15599.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
15507.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
15374.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
15223.9
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
14712.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
14479.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
14420.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
14209.7
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
14000.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
13990.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
13909.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
13337.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
13191.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
13124.2
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
13056.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
12840.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
12839.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
12750.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
12647.1
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
12587.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
12445.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
12045.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
11948.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
11791.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
11734.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
11659.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
11597.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
11545.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
11450.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
11361.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
11186.7
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
11160.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
11132.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
10885.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
10617.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
10582.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
10448.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
10183.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
9851.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
9812.8
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
9690.9
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
9640.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
9463.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
9392.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
9291.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
9154.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
8873.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
8822.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
8734.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
8690.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8672.0
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
8551.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
8387.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
8375.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
7900.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
7832.7
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
7795.7
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
7705.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
7648.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
7616.5
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
7469.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
7433.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
7403.3
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
7375.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
7277.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
7264.4
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
7243.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
7206.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
7201.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
7066.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
7028.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
6969.2
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
6942.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
6898.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
6797.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
6665.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
6517.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6492.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
6370.7
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
6363.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
6297.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
6278.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
6255.4
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
6216.6
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6130.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
6012.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
5926.7
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
5914.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
5860.4
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5853.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
5829.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
5784.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
5639.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
5603.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
5530.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
5458.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
5422.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
5364.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
5289.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
5274.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
5239.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5238.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
5233.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5219.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
5176.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
5113.3
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5027.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
5016.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4834.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4823.7
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4771.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
4654.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4645.7
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
4558.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4369.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
4360.4
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4332.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4327.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
4319.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4309.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
4134.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
4087.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
4064.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
3983.6
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
3976.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
3968.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
3911.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3905.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3904.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3885.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
3880.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
3808.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
3733.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3726.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3711.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
3691.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3660.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3657.1
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3641.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3603.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3591.0
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3580.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3576.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3534.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3530.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3465.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
3460.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3457.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3268.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3255.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3157.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3135.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3092.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3054.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3017.4
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
3010.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3005.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2977.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2974.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2970.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2952.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2933.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2864.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2802.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2785.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2742.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2721.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2669.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2643.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2633.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2630.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2628.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2621.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2616.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2576.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2552.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2547.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2518.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2502.4
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2487.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2478.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
2476.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2470.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2444.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2443.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2403.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2393.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2382.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2356.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2325.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
2268.6
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2261.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2258.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2212.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2210.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2179.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2179.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2130.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2128.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2110.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2079.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2029.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2026.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1956.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1883.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1872.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1870.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1826.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1778.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1770.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
1754.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1738.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1734.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1687.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1665.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1613.6
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1533.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1513.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1513.4
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1499.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1494.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1494.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1479.6
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1474.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1438.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1430.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1425.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1414.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1409.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1369.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1332.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1311.1
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1302.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1245.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1237.8
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1216.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1195.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1171.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1167.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1129.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1086.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1071.8
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1008.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
925.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
899.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
825.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
821.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
760.3
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
757.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
739.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
682.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
666.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
553.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
434.5
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0014160003
Tumor
3.9
CPT0064370003
Tumor
3.3
CPT0078510003
Tumor
3.3
CPT0092730003
Tumor
2.9
CPT0023690003
Tumor
2.8
CPT0025290003
Tumor
2.8
CPT0007860003
Tumor
2.5
CPT0065690003
Tumor
2.5
CPT0020120003
Tumor
2.4
CPT0089460004
Tumor
2.2
CPT0065750003
Tumor
2.2
CPT0092790003
Tumor
2.1
CPT0092290003
Tumor
2.0
CPT0001500009
Tumor
1.9
CPT0065930003
Tumor
1.8
CPT0063320003
Tumor
1.8
CPT0077310003
Tumor
1.7
CPT0086030003
Tumor
1.7
CPT0019990003
Tumor
1.6
CPT0089020003
Tumor
1.4
CPT0066470004
Tumor
1.4
CPT0063630003
Tumor
1.3
CPT0075560003
Tumor
1.2
CPT0078930003
Tumor
1.0
CPT0006900003
Tumor
1.0
CPT0066480003
Tumor
0.8
CPT0081880003
Tumor
0.8
CPT0079380003
Tumor
0.7
CPT0012670003
Tumor
0.6
CPT0025050003
Tumor
0.6
CPT0065810003
Tumor
0.6
CPT0079180003
Tumor
0.5
CPT0076330003
Tumor
0.4
CPT0087040003
Tumor
0.3
CPT0000780007
Tumor
0.3
CPT0021240003
Tumor
0.2
CPT0006630003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0012900004
Tumor
-0.1
CPT0017410003
Tumor
-0.1
CPT0015730003
Tumor
-0.1
CPT0069160003
Tumor
-0.2
CPT0088550004
Tumor
-0.2
CPT0001220008
Tumor
-0.2
CPT0012550003
Tumor
-0.3
CPT0092310003
Normal
-0.3
CPT0092160003
Tumor
-0.5
CPT0015910003
Tumor
-0.5
CPT0025060001
Normal
-0.6
CPT0071150004
Tumor
-0.6
CPT0064400001
Normal
-0.7
CPT0088760003
Tumor
-0.8
CPT0010160003
Tumor
-0.8
CPT0078660003
Tumor
-0.8
CPT0081990003
Tumor
-0.9
CPT0025110003
Tumor
-0.9
CPT0014130001
Normal
-0.9
CPT0023350003
Tumor
-0.9
CPT0092740003
Normal
-0.9
CPT0001230001
Normal
-0.9
CPT0092800003
Normal
-1.0
CPT0069190001
Normal
-1.0
CPT0086950003
Tumor
-1.0
CPT0065450001
Normal
-1.0
CPT0025880003
Tumor
-1.0
CPT0023710001
Normal
-1.0
CPT0006730001
Normal
-1.1
CPT0086970003
Normal
-1.1
CPT0025920001
Normal
-1.1
CPT0025350003
Tumor
-1.1
CPT0078530001
Normal
-1.1
CPT0025230003
Tumor
-1.2
CPT0015810003
Tumor
-1.3
CPT0086370003
Normal
-1.3
CPT0076350001
Normal
-1.3
CPT0088500001
Normal
-1.3
CPT0079410003
Tumor
-1.3
CPT0075130003
Tumor
-1.4
CPT0026420001
Normal
-1.4
CPT0011410003
Tumor
-1.4
CPT0002350011
Tumor
-1.4
CPT0009000003
Tumor
-1.4
CPT0077140001
Normal
-1.4
CPT0065820001
Normal
-1.4
CPT0078800003
Tumor
-1.5
CPT0065430003
Tumor
-1.5
CPT0077490003
Tumor
-1.5
CPT0020020001
Normal
-1.5
CPT0079480003
Tumor
-1.6
CPT0088900003
Tumor
-1.6
CPT0010170001
Normal
-1.6
CPT0007870001
Normal
-1.6
CPT0001510001
Normal
-1.6
CPT0089040001
Normal
-1.6
CPT0078940001
Normal
-1.6
CPT0079510001
Normal
-1.6
CPT0020130001
Normal
-1.7
CPT0078670001
Normal
-1.7
CPT0087050003
Normal
-1.7
CPT0001260009
Tumor
-1.7
CPT0075720003
Tumor
-1.7
CPT0006440003
Tumor
-1.7
CPT0077110003
Tumor
-1.7
CPT0019130003
Tumor
-1.7
CPT0000790001
Normal
-1.7
CPT0092190003
Normal
-1.8
CPT0001270001
Normal
-1.8
CPT0088630003
Tumor
-1.8
CPT0088780001
Normal
-1.8
CPT0088480003
Tumor
-1.8
CPT0085670003
Tumor
-1.8
CPT0014470001
Normal
-1.9
CPT0078840001
Normal
-1.9
CPT0012280003
Tumor
-1.9
CPT0077500001
Normal
-1.9
CPT0001540009
Tumor
-1.9
CPT0000640003
Tumor
-1.9
CPT0009080003
Normal
-1.9
CPT0089480003
Normal
-1.9
CPT0079230003
Tumor
-1.9
CPT0066520001
Normal
-2.0
CPT0088920001
Normal
-2.0
CPT0001550001
Normal
-2.0
CPT0088640003
Normal
-2.0
CPT0009020003
Normal
-2.0
CPT0001190001
Normal
-2.0
CPT0017850003
Tumor
-2.1
CPT0078830003
Tumor
-2.1
CPT0066430001
Normal
-2.1
CPT0012080003
Tumor
-2.1
CPT0086890003
Normal
-2.1
CPT0006950001
Normal
-2.2
CPT0001350001
Normal
-2.2
CPT0012920003
Normal
-2.2
CPT0088570001
Normal
-2.2
CPT0002270011
Tumor
-2.3
CPT0063640001
Normal
-2.3
CPT0007320003
Tumor
-2.3
CPT0079430001
Normal
-2.3
CPT0014450004
Tumor
-2.3
CPT0077320001
Normal
-2.3
CPT0009060003
Tumor
-2.3
CPT0012770003
Normal
-2.3
CPT0086820003
Tumor
-2.3
CPT0001340003
Tumor
-2.3
CPT0075570001
Normal
-2.3
CPT0017450001
Normal
-2.4
CPT0081600003
Tumor
-2.4
CPT0026410003
Tumor
-2.4
CPT0025580004
Tumor
-2.4
CPT0011240003
Tumor
-2.4
CPT0023360001
Normal
-2.4
CPT0002370001
Normal
-2.4
CPT0088970003
Tumor
-2.4
CPT0088710001
Normal
-2.4
CPT0088690003
Tumor
-2.4
CPT0000870016
Tumor
-2.4
CPT0012180003
Tumor
-2.5
CPT0006530001
Normal
-2.5
CPT0012290003
Normal
-2.6
CPT0079300001
Normal
-2.6
CPT0024680001
Normal
-2.7
CPT0063330001
Normal
-2.7
CPT0000660001
Normal
-2.7
CPT0012090003
Normal
-2.7
CPT0079000001
Normal
-2.7
CPT0013790003
Normal
-2.7
CPT0019160001
Normal
-2.7
CPT0079270003
Tumor
-2.8
CPT0012370003
Tumor
-2.8
CPT0082010001
Normal
-2.8
CPT0075170001
Normal
-2.8
CPT0014370004
Tumor
-2.9
CPT0081620001
Normal
-2.9
CPT0018250001
Normal
-2.9
CPT0024670003
Tumor
-3.0
CPT0012640003
Normal
-3.1
CPT0012570003
Normal
-3.1
CPT0078990003
Tumor
-3.1
CPT0001180009
Tumor
-3.1
CPT0010110003
Tumor
-3.2
CPT0069010001
Normal
-3.2
CPT0007470001
Normal
-3.2
CPT0010120001
Normal
-3.3
CPT0014350001
Normal
-3.3
CPT0025610001
Normal
-3.3
CPT0086870003
Tumor
-3.4
CPT0000890001
Normal
-3.6
CPT0084560003
Tumor
-3.8
CPT0084590001
Normal
-4.2
CPT0086830003
Normal
-4.2
CPT0069000003
Tumor
-4.2
CPT0065870003
Tumor
-4.6
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
