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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-CO1 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
35646.8
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
88352.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
87245.1
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
80160.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
79153.8
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
71862.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
63748.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
62811.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
58722.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
57473.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
57305.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
57012.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
55733.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
55665.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
55551.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
54654.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
54244.7
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
53652.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
50876.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
49965.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
49093.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
48275.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
47198.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
46438.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
43448.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
41736.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
40796.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
40088.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
36620.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
35862.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
33399.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
32784.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
32757.5
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
32521.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
32499.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
30649.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
30053.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
27298.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
25936.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
25480.4
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
24631.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
24224.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
23012.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
20535.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
19033.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
16601.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
16027.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
15338.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
15270.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
15167.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
14517.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
14372.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
14324.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
13957.0
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
13284.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
12312.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
11565.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
11433.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
11016.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
10509.8
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
10371.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
10215.5
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
9298.2
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
6674.8
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-CO1 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
23263.0
Number of samples
521
Samples
Sample
Description
TPM
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
99627.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
81411.7
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
76119.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
74466.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
71286.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
67466.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
66469.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
65620.8
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
65222.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
63484.9
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
62590.4
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
61858.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
61844.3
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
60606.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
60084.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
59814.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
58747.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
58484.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
57457.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
57147.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
54590.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
53236.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
52982.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
52897.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
51903.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
51338.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
50564.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
48838.8
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
48686.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
48650.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
48554.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
48255.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
48145.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
47066.8
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
46924.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
45673.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
45627.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
45194.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
44631.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
44624.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
44509.5
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
44156.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
43655.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
43575.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
42627.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
42607.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
42403.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
41890.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
41827.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
41135.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
41127.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
41091.2
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
41073.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
40900.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
40454.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
40385.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
40352.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
40265.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
40139.8
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
40068.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
39838.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
39768.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
39400.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
39311.3
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
39013.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
38466.0
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
38082.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
38067.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
37647.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
37412.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
37405.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
37393.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
37294.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
37175.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
37029.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
36934.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
36910.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
36726.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
36531.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
36503.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
36033.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
35966.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
35791.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
35732.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
35580.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
35562.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
35499.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
35371.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
35363.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
35100.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
35047.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
34716.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
34608.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
34277.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
34217.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
34049.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
33587.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
33480.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
33138.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
32989.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
32904.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
32880.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
32620.4
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
32473.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
32167.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
31944.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
31724.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
31140.4
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
31100.9
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
30888.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
30613.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
30599.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
30582.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
30543.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
30447.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
30262.2
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
30059.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
29982.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
29920.4
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
29898.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
29875.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
29656.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
29247.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
29218.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
29214.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
29042.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
28986.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
28941.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
28738.0
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
28598.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
28575.3
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
28398.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
28260.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
28223.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
28184.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
28143.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
28093.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
27985.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
27924.6
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
27881.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
27695.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
27461.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
27454.8
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
27298.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
27297.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
26951.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
26892.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
26824.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
26783.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
26605.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
26602.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
26432.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
26400.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
26375.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
26286.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
26197.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
26041.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
26037.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
25982.8
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
25736.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
25696.3
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
25675.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
25668.7
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
25646.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
25199.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
25154.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
25128.0
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
24978.9
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
24971.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
24922.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
24832.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
24825.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
24816.3
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
24797.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
24606.3
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
24588.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
24529.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
24484.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
24477.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
24420.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
24382.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
24271.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
24261.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
24159.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
23919.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
23789.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
23750.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
23661.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
23534.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
23524.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
23321.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
23258.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
23236.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
23090.8
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
23028.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
23019.8
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
22922.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
22798.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
22675.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
22537.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
22452.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
22316.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
22253.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
22231.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
22210.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
22025.6
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
21982.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
21883.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
21834.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
21775.3
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
21750.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
21638.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
21540.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
21525.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
21517.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
21484.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
21459.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
21430.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
21400.7
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
21286.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
21276.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
21233.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
21172.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
21170.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
21153.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
21102.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
21074.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
21044.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
20995.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
20849.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
20828.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
20796.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
20763.4
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
20757.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
20718.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
20664.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
20663.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
20585.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
20558.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
20505.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
20499.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
20473.4
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
20452.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
20445.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
20425.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
20371.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
20291.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
20287.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
20261.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
20260.8
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
20148.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
20118.5
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
20055.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
20028.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
19984.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
19965.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
19941.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
19936.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
19779.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
19620.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
19614.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
19585.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
19539.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
19505.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
19479.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
19474.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
19370.7
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
19336.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
19309.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
19308.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
19274.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
19266.9
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
19203.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
19202.3
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
19186.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
19066.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
18995.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
18995.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
18992.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
18922.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
18883.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
18847.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
18813.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
18799.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
18780.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
18756.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
18708.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
18691.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
18686.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
18637.2
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
18614.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
18554.9
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
18541.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
18490.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
18466.2
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
18454.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
18444.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
18314.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
18305.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
18187.4
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
18157.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
18149.9
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
18141.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
18023.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
17992.8
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
17969.6
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
17937.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
17863.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
17862.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
17855.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
17785.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
17778.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
17690.7
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
17688.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
17639.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
17568.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
17562.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
17553.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
17528.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
17457.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
17405.4
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
17344.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
17323.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
17288.1
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
17286.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
17277.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
17034.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
16971.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
16895.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
16890.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
16869.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
16850.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
16785.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
16769.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
16749.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
16678.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
16673.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
16588.7
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
16584.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
16577.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
16577.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
16448.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
16368.0
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
16319.1
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
16316.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
16298.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
16294.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
16288.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
16242.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
16221.4
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
16170.3
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
16057.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
16036.7
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
16030.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
15984.0
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
15957.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
15838.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
15769.2
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
15766.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
15763.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
15732.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
15730.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
15699.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
15605.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
15564.6
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
15550.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
15522.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
15514.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
15506.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
15451.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
15433.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
15359.9
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
15357.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
15320.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
15214.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
15087.0
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
14911.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
14839.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
14831.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
14795.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
14778.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
14752.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
14745.8
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
14722.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
14685.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
14501.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
14471.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
14447.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
14345.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
14283.9
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
14233.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
14228.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
14208.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
14199.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
14169.5
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
14119.2
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
14021.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
13861.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
13854.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
13813.3
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
13771.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
13736.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
13705.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
13693.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
13660.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
13648.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
13625.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
13608.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
13604.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
13575.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
13548.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
13503.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
13465.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
13456.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
13448.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
13412.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
13281.3
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
13250.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
13220.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
13090.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
13044.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
13023.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12936.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
12846.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
12707.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
12647.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
12620.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
12533.2
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
12324.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
12264.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
12250.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12214.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
12184.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
12099.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
12015.3
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
11981.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
11972.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
11947.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
11943.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
11931.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
11919.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
11901.2
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
11742.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
11627.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
11546.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
11535.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
11380.2
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
11320.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
11280.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
11224.8
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
11156.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
11156.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
11060.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
11057.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
11015.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
10981.9
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
10876.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
10849.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
10783.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
10635.3
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
10501.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
10497.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
10477.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
10443.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
10377.0
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
10315.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
10300.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
10213.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
10096.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
10082.5
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
10057.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
10004.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
9772.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9656.2
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
9633.8
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
9580.7
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
9360.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
9343.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
9328.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
9280.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9259.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
9249.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
9235.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
9005.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
8819.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
8764.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
8615.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8580.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
8505.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
8360.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
8288.5
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
8275.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
8271.3
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
8174.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
8153.5
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
8130.2
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7985.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7931.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
7893.0
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
7029.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6845.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
6793.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6657.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6637.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6612.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6196.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5893.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5797.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5365.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
5300.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4471.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3981.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3058.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2896.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2837.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2653.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2428.5
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2246.8
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
1869.3
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1149.7
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-CO1 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
22851.4
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
97928.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
78765.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
57247.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
55364.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
43384.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
42143.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
41340.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
41200.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
39337.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
36253.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
35567.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
34680.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
34257.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
33973.6
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
32665.2
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
32193.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
31339.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
30769.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
30756.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
29875.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
29656.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
28365.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
27299.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
27144.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
26552.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
26480.6
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
26429.7
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
26328.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
25838.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
25631.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
25283.8
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
24820.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
24809.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
24805.4
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
24372.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
23802.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
23459.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
23217.5
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
23029.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
22810.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
22588.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
22574.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
22448.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
22446.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
21870.8
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
21567.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
20522.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
20411.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
20343.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
20087.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
19981.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
19744.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
19211.0
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
19122.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
19022.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
18970.3
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
18943.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
18425.3
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
18365.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
17744.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
17570.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
17462.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
17436.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
17403.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
17241.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
17016.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
17013.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
16652.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
16648.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
16457.2
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
16182.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
16119.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
15909.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
15906.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
15339.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
15161.0
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
14584.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
14548.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
14544.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
14112.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
14102.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
13962.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
13716.4
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
13586.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
13005.0
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
12934.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
12272.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
12268.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
11901.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
11815.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
11140.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
10311.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
9622.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7514.9
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
7022.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5360.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3811.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2530.6
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-CO1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
25059.5
Number of samples
282
Samples
Sample
Description
TPM
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
101867.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
97390.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
85146.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
83283.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
82529.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
76098.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
75375.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
71654.3
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
71574.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
70801.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
68323.9
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
67591.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
66341.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
64927.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
64496.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
63002.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
62572.4
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
61011.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
60238.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
58935.1
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
57325.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
55914.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
54937.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
54399.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
52974.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
52138.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
52068.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
51871.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
51836.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
51207.1
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
50218.2
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
50198.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
50197.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
49051.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
48688.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
47439.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
47334.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
47216.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
46063.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
45935.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
44477.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
44129.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
44039.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
43992.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
43756.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
43553.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
43277.1
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
42902.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
42649.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
42629.2
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
41779.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
41436.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
41192.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
41177.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
40430.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
37579.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
37278.8
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
37149.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
36855.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
36847.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
36041.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
35888.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
35645.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
35352.0
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
34917.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
34567.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
34521.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
34331.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
33634.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
32846.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
32628.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
32613.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
32187.5
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
32069.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
31920.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
31732.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
31277.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
31244.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
30764.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
30631.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
30478.5
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
30413.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
30400.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
29896.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
29683.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
29619.1
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
29379.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
29184.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
28717.8
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
28700.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
28550.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
28482.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
28223.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
28195.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
28152.2
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
28132.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
27802.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
27714.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
27427.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
27274.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
27194.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
26629.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
26365.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
26252.6
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
25792.2
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
25664.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
25566.9
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
25547.7
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
25513.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
25339.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
25213.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
25184.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
24437.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
23782.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
23587.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
23258.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
23211.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
22911.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
22730.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
22443.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
22350.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
21822.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
21818.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
21450.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
21277.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
21236.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
21236.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
20987.0
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
20975.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
20930.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
20850.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
20795.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
20571.8
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
20552.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
20548.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
20399.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
20289.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
20089.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
20010.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
19885.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
19687.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
19458.7
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
19369.1
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
19225.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
19196.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
19166.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
19107.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
19039.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
18743.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
18690.3
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
18635.2
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
18609.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
18571.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
18482.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
18419.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
18195.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
18074.4
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
18007.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
17819.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
17508.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
17425.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
17408.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
17382.5
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
17165.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
16871.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
16856.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
16849.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
16812.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
16710.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
16616.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
16418.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
16380.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
16350.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
16275.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
16230.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
15713.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
15648.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
15596.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
15444.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
15432.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
15276.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
15263.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
15124.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
14959.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
14887.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
14798.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
14791.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
14503.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
14373.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
14271.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
14229.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
13922.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
13879.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
13842.1
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
13787.6
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
13784.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
13628.6
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
13403.7
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
13333.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
13154.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
12738.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
12623.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
12362.6
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
12227.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
12107.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
12008.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
12004.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
11930.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
11797.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
11675.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
11671.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
11637.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
11467.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
11397.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
11396.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
11387.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
11089.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
11051.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
10994.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
10793.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
10707.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
10635.6
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
10487.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
10436.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
10314.4
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
9865.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
9708.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
9677.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
9602.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
9243.1
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
9228.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
9198.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
9195.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
8921.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8675.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
8565.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
8087.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
7985.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
7896.8
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
7884.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
7610.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
7473.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
7375.1
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7098.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
7094.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
7090.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
7033.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
6921.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
6820.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6818.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
6760.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6574.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6222.6
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
6086.1
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
6064.1
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
5910.2
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
5862.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5854.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
5513.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5362.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5350.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5021.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
4732.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4694.9
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4520.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4474.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
4349.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4098.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
3709.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
3574.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3471.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
3252.0
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3194.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2773.7
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2701.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2596.9
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2449.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2303.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1926.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1388.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1356.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
561.7
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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
