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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.
CLU is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1139.8
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
5769.3
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
5137.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
5063.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
3508.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
3100.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3040.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2658.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2503.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2496.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2433.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2155.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2073.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1969.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1732.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1638.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1544.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1526.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1403.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1372.8
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
1300.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1279.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1148.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1143.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1069.6
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1025.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
963.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
943.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
916.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
904.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
863.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
751.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
661.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
656.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
648.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
644.5
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
567.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
506.1
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
471.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
439.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
396.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
380.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
372.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
322.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
315.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
298.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
283.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
280.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
267.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
203.0
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
193.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
188.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
177.5
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
169.3
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
163.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
159.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
147.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
143.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
141.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
76.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
71.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
54.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
44.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
34.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 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.
CLU is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3570.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
35284.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
28698.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
23362.1
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
20339.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
18684.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
16609.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
15799.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
15386.2
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
14533.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
14436.8
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
13843.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
13285.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
13244.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
12412.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
12245.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
12054.2
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
11696.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
10948.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
10654.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
10421.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
10363.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
10086.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
9768.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
9615.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
9571.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
9447.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
9344.6
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
9238.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
9195.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
8917.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8899.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
8887.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
8734.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
8704.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
8640.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8590.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8283.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
8272.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
8215.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
8163.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
8126.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8117.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
7977.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7856.4
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
7639.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7618.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7566.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
7404.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
7296.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
7235.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
7146.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7145.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
7124.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
7009.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
6834.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
6831.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
6664.5
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6658.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
6611.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6590.1
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6569.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6470.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
6459.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
6458.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
6314.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
6286.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
6263.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
6231.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6135.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6101.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
6089.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
5993.7
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
5991.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
5846.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
5833.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
5831.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5828.7
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5787.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
5773.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5736.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5687.0
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5668.8
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5596.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
5531.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
5515.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5490.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5419.4
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
5408.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
5400.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
5399.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5393.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5381.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
5375.3
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
5362.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
5342.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
5330.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5322.6
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5318.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
5287.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
5252.5
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5247.3
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5165.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
5156.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5100.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
5022.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5015.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5014.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
4994.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
4960.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4921.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4841.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4790.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4790.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
4787.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4732.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
4707.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
4642.4
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4633.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4621.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4593.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
4592.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4581.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
4580.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4577.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4542.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4492.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4446.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
4396.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
4381.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4352.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4350.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4285.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4278.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4244.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4240.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4227.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4219.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4210.5
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4206.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4202.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4197.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4155.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4141.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4140.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
4135.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4130.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4053.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4016.7
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3924.3
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3921.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3919.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
3892.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3868.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3867.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3844.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3835.4
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
3817.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3815.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
3807.3
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3798.8
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3783.6
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3761.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3754.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3737.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3737.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3729.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
3728.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3711.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3704.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3700.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3688.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
3646.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3643.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3642.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3640.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3637.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3629.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3614.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3609.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3606.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3587.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3566.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3550.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3548.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3538.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3500.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3477.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3469.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3457.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3452.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3452.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3413.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3410.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3406.6
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3404.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3394.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3369.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3359.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3355.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3327.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3311.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3303.3
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3296.8
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3289.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3288.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3272.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3272.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3267.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3259.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3234.3
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3226.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3225.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3205.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3183.5
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3165.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3145.5
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3145.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3131.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3130.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3127.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3123.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3118.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3112.0
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3074.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3070.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3058.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3049.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3047.8
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3040.9
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
3039.9
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3035.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2980.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2971.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2963.3
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2954.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2936.0
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2933.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2932.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2926.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2915.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2903.6
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2853.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2844.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2838.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2832.7
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2829.1
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2817.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2792.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2790.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2789.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2779.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2775.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2768.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2727.5
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
2725.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2720.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2718.2
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2705.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2703.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2695.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2679.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2673.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2656.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2627.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2624.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2611.9
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2603.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2601.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2599.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2593.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2581.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
2573.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2562.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2556.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2551.7
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2549.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2514.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2502.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2486.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2481.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2475.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2465.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2458.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2445.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2428.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2424.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2422.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2416.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2411.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2403.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2395.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2392.5
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2384.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2377.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2375.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2358.7
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2357.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2354.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2346.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2345.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2344.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2336.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2335.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2333.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2332.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2310.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2300.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2292.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
2283.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2278.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2274.7
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
2259.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2257.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2244.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2240.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2193.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2193.0
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2192.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2177.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2161.1
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2155.9
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2151.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2147.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2145.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2139.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2135.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2120.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2116.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2114.4
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
2109.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2108.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2103.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2084.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2057.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2037.9
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2037.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2034.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1998.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1997.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1992.7
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1977.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1972.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1969.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1965.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
1959.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1955.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1937.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1911.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1898.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1886.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
1884.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1868.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1858.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
1854.8
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1852.5
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1851.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1835.5
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1832.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1820.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1818.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1815.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1812.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1796.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1788.1
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1785.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1782.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1772.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
1760.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
1755.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1749.0
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1745.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1741.5
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1738.8
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1737.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1737.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1726.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1716.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1712.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1700.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
1689.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1673.9
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1671.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1652.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1648.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1647.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
1645.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1644.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1620.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1601.5
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1591.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1572.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1556.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1546.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1528.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1523.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1510.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
1504.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1485.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
1458.0
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1433.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1432.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1431.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1426.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1419.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1416.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1412.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1411.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1401.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1355.8
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
1342.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1322.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1268.1
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1257.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1242.4
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1238.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1235.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1234.6
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1234.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
1226.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1213.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1210.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1208.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1207.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1200.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1196.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1195.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1186.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1175.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1174.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1157.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
1155.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1143.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1140.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1137.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1133.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1131.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1131.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1118.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1079.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1035.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1028.9
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1025.2
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1020.2
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1010.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
997.5
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
996.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
990.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
974.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
958.4
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
956.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
954.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
935.2
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
930.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
922.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
890.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
873.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
867.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
867.0
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
859.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
852.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
851.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
845.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
824.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
822.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
812.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
806.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
748.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
744.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
739.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
727.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
721.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
714.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
712.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
706.9
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
701.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
698.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
690.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
690.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
689.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
678.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
671.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
662.3
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
639.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
638.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
636.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
634.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
631.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
611.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
609.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
579.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
554.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
552.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
548.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
548.6
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
546.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
520.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
517.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
515.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
505.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
494.7
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
492.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
466.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
451.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
439.2
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
415.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
382.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
306.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
304.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
294.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
278.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
254.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
199.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
163.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
159.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
147.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
117.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
88.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
87.1
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
79.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
73.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 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.
CLU is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3220.4
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
23994.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
9883.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
8062.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
7526.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
7203.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
6764.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
6324.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6290.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6165.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5888.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5814.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5655.7
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
5545.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
5464.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
5307.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4915.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4840.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4795.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4711.5
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4681.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4449.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
4418.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4351.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
4068.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3857.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
3825.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3651.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
3572.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3512.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3479.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3471.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3465.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
3436.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3373.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3304.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3250.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3205.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3150.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3075.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3074.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3054.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3021.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2982.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2865.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2862.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2776.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2767.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2744.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2693.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2683.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2674.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2628.3
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2596.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2585.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2475.1
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2456.8
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2450.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2406.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2287.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2180.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2146.7
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2125.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2123.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2111.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2082.1
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2041.0
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1982.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1974.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1963.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1957.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1934.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1898.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1896.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1852.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1749.8
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1732.7
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1671.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1616.7
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1540.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1532.4
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1516.0
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1453.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1397.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1300.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1250.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1237.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1179.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1107.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1084.6
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
943.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
941.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
906.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
846.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
788.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
750.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
720.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
666.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
647.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 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.
CLU is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
8246.9
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
53573.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
42353.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
30857.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
27211.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
26994.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
26622.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
25961.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
25763.8
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
24860.6
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
24719.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
24179.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
22298.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
21793.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
21294.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
20828.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
20773.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
20601.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
20572.7
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
20449.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
20335.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
20277.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
19762.6
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
18447.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
18418.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
18337.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
18256.1
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
17847.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
17724.9
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
17616.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
16967.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
16750.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
16710.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
16280.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
16084.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
15915.0
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
15762.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
15738.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
15674.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
15079.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
14997.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
14839.5
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
14828.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
14812.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
14696.4
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
14620.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
14391.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
14358.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
14268.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
14055.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
13802.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
13709.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
13334.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
13181.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
13165.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
13085.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
13032.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
12808.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
12734.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
12551.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
12458.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
12392.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
12379.4
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
12325.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
12194.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
12122.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
12099.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
11847.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
11822.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
11766.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
11727.0
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
11317.0
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
11269.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
11028.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
10975.7
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
10939.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
10914.5
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
10888.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
10711.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
10698.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
10665.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
10648.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
10573.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
10508.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
10506.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
10414.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
10303.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
10077.8
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
9950.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
9925.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
9824.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
9529.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
9459.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
9407.7
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
9258.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
9195.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
9091.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
9051.4
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
8904.2
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
8846.9
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
8822.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
8760.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
8724.8
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
8546.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
8542.6
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
8344.7
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
8329.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
8314.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
8241.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
8216.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
8068.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
7987.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
7942.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7939.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
7824.0
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
7741.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
7733.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
7609.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
7588.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
7561.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
7524.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7417.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
7274.0
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
7255.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
7224.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
7141.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
7141.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
7057.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
7056.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
7047.6
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
6896.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
6831.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
6728.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
6649.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6624.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
6593.0
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
6454.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
6404.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
6355.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
6337.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
6213.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
6170.5
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
6157.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
6134.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
6095.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
6083.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
6052.9
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
6047.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
6045.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5938.7
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5924.7
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
5867.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
5792.4
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5784.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5745.0
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
5687.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
5633.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5510.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
5510.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
5481.7
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5416.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
5376.5
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
5359.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
5347.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5286.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
5250.5
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
5224.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
5166.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5036.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
5030.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4891.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4885.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
4826.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4808.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4774.7
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
4764.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
4756.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
4752.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4673.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
4597.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
4588.3
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4529.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4497.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4490.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
4465.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4434.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4349.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
4323.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4232.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
4213.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
4045.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3888.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
3852.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3846.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
3846.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
3830.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3818.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3796.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
3726.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
3688.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3647.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
3591.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
3500.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3472.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3399.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3324.7
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3323.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3310.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3294.3
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
3285.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3284.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3233.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
3194.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
3190.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
3100.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3050.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2925.3
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2914.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2896.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2886.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2813.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2731.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2696.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2676.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2667.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2666.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2651.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2627.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2612.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2586.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2576.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2564.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
2548.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2535.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2495.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2446.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2444.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
2442.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2438.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
2428.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2427.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
2414.5
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
2238.2
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
2181.6
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2152.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2097.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2086.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2055.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2000.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1872.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1816.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1792.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1770.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1750.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1687.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1578.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1513.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1366.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1310.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1279.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1195.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1164.0
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1049.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
990.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
982.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
957.8
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
902.2
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
858.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
792.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
750.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
726.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
721.3
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
612.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
558.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
536.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
513.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
448.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
404.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
357.6
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
310.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
244.0
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
153.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
119.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0076330003
Tumor
3.3
CPT0063630003
Tumor
2.5
CPT0084560003
Tumor
2.4
CPT0015910003
Tumor
1.4
CPT0014160003
Tumor
1.1
CPT0079510001
Normal
1.1
CPT0002350011
Tumor
1.1
CPT0066480003
Tumor
1.0
CPT0010120001
Normal
1.0
CPT0063320003
Tumor
0.8
CPT0065930003
Tumor
0.8
CPT0012920003
Normal
0.7
CPT0011240003
Tumor
0.7
CPT0000640003
Tumor
0.7
CPT0007860003
Tumor
0.6
CPT0077320001
Normal
0.6
CPT0009020003
Normal
0.6
CPT0019990003
Tumor
0.6
CPT0081990003
Tumor
0.6
CPT0075720003
Tumor
0.6
CPT0064370003
Tumor
0.6
CPT0012570003
Normal
0.6
CPT0013790003
Normal
0.5
CPT0012290003
Normal
0.5
CPT0077310003
Tumor
0.5
CPT0002370001
Normal
0.5
CPT0079300001
Normal
0.5
CPT0017410003
Tumor
0.5
CPT0092190003
Normal
0.5
CPT0012550003
Tumor
0.5
CPT0066520001
Normal
0.4
CPT0081880003
Tumor
0.4
CPT0069190001
Normal
0.4
CPT0086970003
Normal
0.4
CPT0076350001
Normal
0.4
CPT0025060001
Normal
0.3
CPT0017850003
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0011410003
Tumor
0.2
CPT0069160003
Tumor
0.2
CPT0000890001
Normal
0.2
CPT0020020001
Normal
0.2
CPT0014470001
Normal
0.2
CPT0012900004
Tumor
0.2
CPT0063330001
Normal
0.2
CPT0077140001
Normal
0.2
CPT0065750003
Tumor
0.2
CPT0006730001
Normal
0.1
CPT0001550001
Normal
0.1
CPT0086030003
Tumor
0.1
CPT0077500001
Normal
0.1
CPT0012090003
Normal
0.1
CPT0078530001
Normal
0.1
CPT0025170003
Tumor
0.1
CPT0064400001
Normal
0.1
CPT0092290003
Tumor
0.1
CPT0078670001
Normal
0.1
CPT0089020003
Tumor
0.1
CPT0000780007
Tumor
0.1
CPT0088780001
Normal
0.1
CPT0088570001
Normal
0.1
CPT0075560003
Tumor
0.1
CPT0024680001
Normal
0.1
CPT0086890003
Normal
0.1
CPT0088500001
Normal
0.0
CPT0019160001
Normal
0.0
CPT0092730003
Tumor
0.0
CPT0077490003
Tumor
0.0
CPT0025920001
Normal
0.0
CPT0001220008
Tumor
0.0
CPT0012640003
Normal
0.0
CPT0006900003
Tumor
0.0
CPT0065820001
Normal
0.0
CPT0092740003
Normal
0.0
CPT0087050003
Normal
0.0
CPT0069010001
Normal
0.0
CPT0075570001
Normal
0.0
CPT0065690003
Tumor
0.0
CPT0012180003
Tumor
0.0
CPT0078510003
Tumor
0.0
CPT0088640003
Normal
0.0
CPT0087040003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0001510001
Normal
0.0
CPT0009080003
Normal
0.0
CPT0088920001
Normal
0.0
CPT0006530001
Normal
0.0
CPT0069000003
Tumor
0.0
CPT0014350001
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0089480003
Normal
-0.1
CPT0092800003
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0007870001
Normal
-0.1
CPT0075170001
Normal
-0.1
CPT0023690003
Tumor
-0.1
CPT0006950001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0063640001
Normal
-0.1
CPT0018250001
Normal
-0.1
CPT0025110003
Tumor
-0.1
CPT0001350001
Normal
-0.1
CPT0089040001
Normal
-0.1
CPT0088760003
Tumor
-0.1
CPT0001260009
Tumor
-0.1
CPT0009000003
Tumor
-0.2
CPT0026420001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0086830003
Normal
-0.2
CPT0007470001
Normal
-0.2
CPT0086370003
Normal
-0.2
CPT0001190001
Normal
-0.2
CPT0078940001
Normal
-0.2
CPT0023350003
Tumor
-0.2
CPT0014130001
Normal
-0.2
CPT0001270001
Normal
-0.2
CPT0088900003
Tumor
-0.2
CPT0078840001
Normal
-0.2
CPT0092790003
Tumor
-0.2
CPT0020120003
Tumor
-0.2
CPT0078930003
Tumor
-0.2
CPT0019130003
Tumor
-0.2
CPT0088710001
Normal
-0.2
CPT0079230003
Tumor
-0.2
CPT0082010001
Normal
-0.3
CPT0000790001
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0066470004
Tumor
-0.3
CPT0025290003
Tumor
-0.4
CPT0025350003
Tumor
-0.4
CPT0006630003
Tumor
-0.4
CPT0002270011
Tumor
-0.4
CPT0000660001
Normal
-0.4
CPT0017450001
Normal
-0.4
CPT0088690003
Tumor
-0.4
CPT0025610001
Normal
-0.4
CPT0071150004
Tumor
-0.5
CPT0079380003
Tumor
-0.5
CPT0023710001
Normal
-0.5
CPT0088480003
Tumor
-0.5
CPT0001230001
Normal
-0.5
CPT0025050003
Tumor
-0.5
CPT0079480003
Tumor
-0.5
CPT0079430001
Normal
-0.5
CPT0023360001
Normal
-0.5
CPT0088970003
Tumor
-0.5
CPT0092160003
Tumor
-0.5
CPT0085670003
Tumor
-0.5
CPT0075130003
Tumor
-0.5
CPT0065450001
Normal
-0.6
CPT0066430001
Normal
-0.6
CPT0021240003
Tumor
-0.6
CPT0007320003
Tumor
-0.6
CPT0025230003
Tumor
-0.6
CPT0015810003
Tumor
-0.6
CPT0012370003
Tumor
-0.6
CPT0089460004
Tumor
-0.6
CPT0081600003
Tumor
-0.7
CPT0010160003
Tumor
-0.7
CPT0000870016
Tumor
-0.7
CPT0078660003
Tumor
-0.7
CPT0014370004
Tumor
-0.7
CPT0088630003
Tumor
-0.7
CPT0078830003
Tumor
-0.7
CPT0065430003
Tumor
-0.7
CPT0001500009
Tumor
-0.8
CPT0025880003
Tumor
-0.8
CPT0065810003
Tumor
-0.8
CPT0086820003
Tumor
-0.8
CPT0086870003
Tumor
-0.8
CPT0012080003
Tumor
-0.8
CPT0015730003
Tumor
-0.8
CPT0079410003
Tumor
-0.9
CPT0025580004
Tumor
-0.9
CPT0006440003
Tumor
-0.9
CPT0079180003
Tumor
-0.9
CPT0009060003
Tumor
-0.9
CPT0012670003
Tumor
-0.9
CPT0012280003
Tumor
-1.0
CPT0086360003
Tumor
-1.0
CPT0077110003
Tumor
-1.0
CPT0010110003
Tumor
-1.0
CPT0001340003
Tumor
-1.0
CPT0024670003
Tumor
-1.1
CPT0079270003
Tumor
-1.2
CPT0086950003
Tumor
-1.2
CPT0014450004
Tumor
-1.2
CPT0078990003
Tumor
-1.3
CPT0001540009
Tumor
-1.3
CPT0001180009
Tumor
-1.3
CPT0078800003
Tumor
-1.3
CPT0088550004
Tumor
-1.6
CPT0026410003
Tumor
-1.6
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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
