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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 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
39169.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
87357.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
77897.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
73185.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
67257.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
61785.3
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
59319.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
58947.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
58398.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
58247.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
56340.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
54618.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
52990.8
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
52894.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
50622.7
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
50552.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
47999.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
47003.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
45643.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
44659.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
44582.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
43731.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
43697.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
42860.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
42651.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
42073.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
41863.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
40898.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
40444.3
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
40229.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
40216.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
39119.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
38553.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
38169.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
36677.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
36564.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
35115.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
34576.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
34569.3
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
34422.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
34066.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
33588.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
31433.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
30236.8
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
30155.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
29638.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
28976.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
28524.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
28520.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
28500.4
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
27756.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
27396.7
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
27285.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
26643.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
24790.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
23177.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
22105.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
21460.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
20354.7
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
19335.2
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
18178.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
16410.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
16027.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
15059.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
19113.8
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
72135.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
69247.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
67178.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
65482.6
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
65106.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
63292.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
60457.5
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
58473.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
55732.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
55052.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
50958.2
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
48470.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
47716.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
46156.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
45368.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
44648.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
44391.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
44177.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
43986.2
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
43494.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
43346.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
43307.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
42760.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
41734.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
41211.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
41070.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
40691.7
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
39715.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
39655.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
39508.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
39353.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
39266.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
39163.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
38767.7
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
38660.4
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
38451.1
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
38265.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
38095.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
37692.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
37466.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
37355.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
36736.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
36659.3
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
36447.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
36421.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
36360.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
35962.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
35948.9
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
35586.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
35490.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
34174.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
33627.9
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
33281.4
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
33113.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
33040.3
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
32932.8
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
32903.7
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
32852.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
32606.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
32311.8
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
32282.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
32049.0
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
32042.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
31832.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
31469.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
31332.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
31104.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
30981.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
30849.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
30750.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
30746.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
30740.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
30558.2
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
30309.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
30210.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
30100.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
30062.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
30007.3
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
29910.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
29832.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
29800.2
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
29755.7
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
29631.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
29554.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
29026.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
28778.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
28684.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
28422.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
28086.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
28022.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
28018.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
28004.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
27935.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
27918.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
27851.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
27769.3
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
27645.4
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
27605.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
27600.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
27596.5
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
26661.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
26637.7
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
26633.6
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
26631.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
26456.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
26324.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
26278.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
26256.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
26139.6
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
26059.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
25854.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
25832.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
25764.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
25653.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
25586.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
25518.0
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
25498.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
25432.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
25314.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
25232.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
25174.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
25072.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
25030.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
24864.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
24846.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
24841.7
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
24833.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
24758.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
24665.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
24543.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
24497.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
24400.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
24372.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
24284.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
24239.5
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
24099.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
24061.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
23833.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
23787.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
23662.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
23623.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
23295.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
23249.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
23175.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
23041.5
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
22994.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
22868.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
22820.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
22737.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
22596.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
22472.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
22323.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
22140.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
21852.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
21813.4
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
21812.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
21754.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
21708.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
21679.0
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
21662.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
21643.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
21613.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
21339.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
21297.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
21290.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
21256.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
21223.0
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
21162.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
21135.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
21078.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
21049.9
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
20996.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
20954.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
20787.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
20665.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
20574.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
20515.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
20393.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
20332.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
20274.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
20245.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
20208.2
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
20083.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
20021.2
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
19878.5
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
19839.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
19793.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
19732.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
19730.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
19701.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
19655.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
19577.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
19468.9
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
19359.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
19332.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
19273.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
19199.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
19153.8
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
19116.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
19104.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
19010.8
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
18894.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
18808.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
18416.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
18408.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
18397.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
18366.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
18298.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
18226.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
18019.3
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
17938.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
17896.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
17888.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
17873.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
17844.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
17787.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
17750.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
17713.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
17619.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
17607.9
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
17587.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
17519.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
17507.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
17505.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
17500.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
17451.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
17408.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
17387.0
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
17351.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
17124.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
17108.4
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
17072.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
16924.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
16868.0
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
16846.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
16799.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
16753.9
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
16660.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
16643.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
16598.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
16501.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
16418.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
16412.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
16375.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
16360.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
16303.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
16299.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
16287.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
16228.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
16192.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
16177.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
16102.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
16087.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
16057.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
16052.7
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
15937.0
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
15875.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
15841.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
15818.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
15764.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
15763.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
15744.0
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
15737.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
15734.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
15639.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
15608.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
15581.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
15545.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
15539.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
15500.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
15463.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
15390.6
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
15289.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
15277.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
15276.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
15254.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
15170.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
15130.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
15081.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
15026.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
14997.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
14977.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
14931.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
14919.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
14878.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
14840.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
14800.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
14785.9
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
14776.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
14766.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
14741.9
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
14664.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
14645.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
14580.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
14561.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
14552.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
14487.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
14486.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
14454.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
14449.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
14431.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
14113.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
14097.9
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
14069.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
14029.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
14022.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
13933.3
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
13877.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
13874.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
13829.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
13825.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
13815.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
13757.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
13689.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
13668.8
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
13545.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
13523.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
13520.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
13498.8
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
13436.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
13418.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
13397.4
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
13260.0
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
13236.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
13219.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
13210.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
13177.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
13145.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
13125.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
13112.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
13046.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
13038.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
12958.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12912.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
12905.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
12902.2
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
12900.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
12898.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
12897.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
12869.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
12861.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
12807.5
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
12792.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
12765.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
12763.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
12703.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
12691.6
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
12651.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
12591.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
12580.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
12533.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
12524.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
12510.0
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
12502.9
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
12494.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
12492.0
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
12477.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
12462.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
12410.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
12386.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
12306.7
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
12288.6
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
12280.8
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
12278.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
12240.5
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
12230.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
12221.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
12209.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12192.6
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
12186.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
12166.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
12123.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
12098.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
12068.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
12024.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
12011.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
11977.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
11963.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
11905.3
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
11889.6
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
11876.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
11828.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
11795.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
11784.0
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
11783.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
11782.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
11777.0
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
11769.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
11734.0
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
11710.6
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
11664.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
11655.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
11655.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
11625.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
11610.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
11601.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
11561.5
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
11559.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
11472.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
11432.1
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
11418.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
11403.4
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
11388.6
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
11381.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
11362.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
11318.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
11314.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
11311.2
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
11200.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
11164.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
11164.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
11102.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
11087.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
11076.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
11070.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
11050.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
10992.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
10937.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
10809.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
10741.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
10712.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
10692.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
10674.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
10672.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
10651.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
10568.3
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
10548.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
10491.0
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
10464.6
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
10463.4
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
10286.9
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
10221.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
10206.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
10163.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
10159.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
10151.3
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
10091.5
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
10077.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
9993.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
9831.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
9819.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
9623.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
9565.4
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
9513.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
9509.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
9493.1
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
9466.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
9455.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
9347.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
9312.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
9236.0
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
9229.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
9221.9
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
9221.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
9211.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
9151.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
9108.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
9058.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
8969.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
8927.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
8878.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
8875.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
8824.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
8781.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
8730.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8639.9
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
8593.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8528.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
8514.2
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
8427.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
8362.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
8275.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
8250.6
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
8205.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
8203.2
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
8182.4
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
8175.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
8083.1
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7962.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
7862.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
7854.9
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
7827.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
7773.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7770.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7668.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
7538.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
7497.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
7400.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
7341.7
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
7326.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
7291.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7239.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7128.0
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
7071.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7019.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6957.9
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
6857.4
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6786.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6699.6
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6582.3
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
6383.2
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6295.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6172.2
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
6012.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
5891.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5792.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5683.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5584.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5346.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5233.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5166.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5165.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4721.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3565.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3350.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2775.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2491.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1789.4
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1615.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
440.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 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
15816.2
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
56444.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
55797.2
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
43840.5
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
38200.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
37873.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
36013.4
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
29693.8
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
29594.0
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
28546.9
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
28114.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
28102.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
27248.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
26344.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
25666.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
24572.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
23959.0
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
23142.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
22585.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
21858.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
21447.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
20479.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
19365.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
19111.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
18770.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
18454.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
17600.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
16902.7
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
16629.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
16495.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
16414.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
16370.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
16109.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
16094.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
15776.2
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
15714.9
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
15615.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
15170.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
15088.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
14979.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
14890.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
14793.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
14507.6
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
14183.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
13825.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
13662.6
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
13596.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
13527.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
13483.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
13102.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
13042.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
13040.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
12969.8
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
12892.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
12633.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
12383.9
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
12282.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
12253.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
12143.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
12120.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
12113.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
11898.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
11878.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
11557.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
11490.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
11428.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
11293.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
11225.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
11194.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
11113.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
10765.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
10602.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
10596.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
10442.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
10436.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
10394.2
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
10269.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
10050.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
9994.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
9951.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
9861.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
9748.4
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
9725.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
9630.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
9392.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
9202.9
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
9185.8
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
8719.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
8451.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
8203.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
8065.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7755.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
7691.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
7690.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7147.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
6200.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5433.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2044.7
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1866.0
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 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
25965.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
74125.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
73859.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
71984.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
68309.3
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
62793.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
62638.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
61490.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
61347.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
61072.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
60198.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
59746.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
58755.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
58639.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
56926.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
56779.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
55703.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
55668.3
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
55647.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
55510.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
54511.9
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
54084.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
52775.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
52569.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
51357.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
50713.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
50608.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
49860.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
49498.4
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
49307.1
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
48738.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
48346.5
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
47740.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
47177.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
47172.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
46340.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
46318.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
45787.0
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
45622.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
45408.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
45020.5
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
44959.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
44928.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
44561.5
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
44339.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
43844.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
43656.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
43129.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
42711.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
41962.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
41889.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
40716.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
40545.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
40292.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
39950.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
39391.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
39136.2
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
39100.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
38881.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
38602.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
38220.4
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
38160.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
36390.4
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
36368.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
35962.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
35760.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
35676.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
35295.1
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
35006.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
34820.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
34726.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
33682.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
33453.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
33283.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
33237.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
32883.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
32626.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
31865.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
31735.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
31713.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
31525.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
31421.3
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
31147.1
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
31126.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
31038.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
30820.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
30507.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
30403.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
30266.5
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
30164.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
29910.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
29861.1
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
29686.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
29675.9
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
29662.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
29574.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
29551.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
29433.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
29377.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
29276.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
28980.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
28468.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
28422.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
28261.5
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
27846.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
27623.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
27559.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
27515.5
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
27313.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
27246.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
27164.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
26718.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
26663.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
26464.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
26389.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
26385.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
26254.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
25966.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
25926.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
25878.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
25774.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
25759.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
25565.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
25333.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
25300.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
25091.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
24814.4
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
24803.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
24644.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
24540.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
24317.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
24046.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
24043.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
23845.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
23626.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
23624.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
23507.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
23404.9
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
23362.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
23159.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
23069.7
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
23047.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
23011.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
22988.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
22734.0
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
22677.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
22220.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
22004.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
21699.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
21589.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
21476.4
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
21347.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
21242.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
21189.9
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
21133.1
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
20947.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
20904.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
20865.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
20715.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
20496.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
20358.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
19884.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
19876.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
19837.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
19751.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
19623.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
19438.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
19375.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
19346.8
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
19286.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
18780.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
18480.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
18317.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
18238.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
17746.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
17617.7
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
17593.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
17571.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
17521.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
17488.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
17485.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
17367.9
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
17350.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
16995.5
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
16756.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
16748.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
16669.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
16490.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
16385.6
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
16305.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
16300.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
16159.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
16073.2
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
16032.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
15871.6
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
15740.1
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
15689.6
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
15542.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
15506.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
15482.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
15369.1
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
15365.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
15151.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
15089.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
14932.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
14759.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
14739.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
14668.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
14616.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
14349.7
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
14280.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
14238.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
14201.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
13818.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
13808.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
13409.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
13392.3
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
13367.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
13299.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
13219.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
13036.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
12973.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
12963.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
12936.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
12895.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
12775.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
12704.6
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
12539.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
12511.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
12400.6
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
12352.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
12347.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
12132.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
12121.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
12112.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
12038.6
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
11836.4
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
11434.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
11409.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
11396.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
11184.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
11170.1
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
10821.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
10819.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
10743.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
10627.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
10546.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
10201.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
10169.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
10128.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
10030.7
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
9854.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
9574.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
9188.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
8937.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
8876.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
8726.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
8312.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
8149.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
8047.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
7924.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
7893.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
7882.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
7848.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7766.2
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
7265.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
6791.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
6696.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6664.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
6647.7
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
6419.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
6266.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
6107.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
6021.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6004.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5711.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5668.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
4810.7
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3924.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3469.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2711.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2288.0
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2137.3
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
