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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
33870.6
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
79100.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
69904.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
67098.0
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
61207.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
55433.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
54083.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
52284.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
52261.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
51726.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
49293.0
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
48626.6
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
47778.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
44945.3
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
44046.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
43192.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
41765.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
41607.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
40322.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
40096.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
39822.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
39242.9
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
39089.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
39080.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
37985.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
36787.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
35858.8
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
35659.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
35645.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
35020.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
34878.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
34733.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
34313.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
32097.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
32066.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
30567.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
30174.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
29799.6
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
28495.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
27409.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
27224.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
26540.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
26032.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
25550.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
25147.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
24962.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
24738.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
24156.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
23893.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
23089.4
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
23036.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
22292.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
21521.6
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
21393.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
19688.8
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
18227.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
17455.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
16921.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
15463.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
15193.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
15103.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
12894.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
11981.2
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
11315.9
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is 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
15966.7
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
66002.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
61351.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
58357.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
57682.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
55136.9
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
54110.8
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
53715.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
51651.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
50230.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
49549.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
43467.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
40622.3
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
39502.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
39392.4
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
39304.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
39301.2
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
38616.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
38602.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
37371.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
36619.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
36397.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
35896.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
35800.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
35088.6
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
34987.9
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
34708.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
34047.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
34003.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
33750.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
33697.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
33532.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
33501.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
33367.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
33352.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
33265.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
33258.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
32971.5
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
32802.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
32240.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
32099.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
31892.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
31815.4
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
31448.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
31412.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
30460.9
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
30226.3
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
30122.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
30096.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
29790.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
29576.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
29264.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
28500.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
28253.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
28153.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
28105.4
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
27879.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
27195.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
27190.9
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
27180.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
27174.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
27140.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
27084.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
26772.2
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
26587.8
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
26535.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
26470.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
26390.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
26266.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
26263.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
26176.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
26135.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
25653.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
25498.9
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
25453.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
25385.4
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
25285.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
25244.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
25143.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
25142.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
24958.3
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
24708.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
24641.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
24580.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
24545.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
24251.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
24187.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
24034.4
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
23713.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
23580.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
23580.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
23207.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
23196.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
23134.6
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
23078.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
23054.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
23003.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
22827.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
22765.7
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
22730.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
22705.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
22594.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
22545.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
22338.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
22313.4
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
22251.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
22036.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
21767.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
21765.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
21759.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
21737.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
21640.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
21581.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
21553.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
21537.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
21502.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
21497.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
21423.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
21362.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
21350.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
21124.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
21016.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
21015.0
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
20955.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
20723.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
20653.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
20646.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
20636.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
20491.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
20409.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
20349.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
20334.3
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
20332.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
20149.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
19962.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
19846.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
19798.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
19609.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
19492.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
19369.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
19334.8
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
19273.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
19254.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
19202.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
19177.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
19068.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
18961.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
18959.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
18869.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
18760.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
18701.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
18661.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
18467.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
18361.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
18348.9
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
18316.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
18303.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
18293.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
18276.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
18243.2
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
18226.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
18121.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
17988.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
17861.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
17802.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
17749.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
17722.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
17580.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
17580.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
17510.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
17497.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
17371.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
17351.4
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
17330.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
17257.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
17257.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
17257.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
17214.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
17163.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
17028.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
16967.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
16899.6
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
16821.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
16668.5
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
16468.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
16383.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
16327.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
16243.7
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
16202.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
16197.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
16183.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
16159.9
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
16134.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
16125.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
16076.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
15989.3
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
15975.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
15954.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
15943.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
15906.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
15752.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
15501.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
15452.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
15357.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
15272.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
15013.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
14980.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
14980.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
14971.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
14872.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
14834.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
14810.6
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
14807.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
14754.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
14717.7
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
14712.1
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
14687.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
14644.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
14638.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
14567.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
14461.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
14423.7
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
14344.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
14330.8
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
14292.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
14286.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
14286.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
14230.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
14194.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
14166.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
14153.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
14150.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
14137.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
14124.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
14123.3
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
14011.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
13973.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
13839.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
13797.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
13793.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
13782.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
13691.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
13671.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
13646.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
13558.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
13520.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
13462.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
13440.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
13433.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
13340.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
13302.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
13297.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
13287.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
13257.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
13253.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13229.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
13206.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
13150.3
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
13144.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
13110.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
13082.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
13052.3
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
13040.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
13000.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
12952.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12836.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
12828.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
12799.9
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
12714.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
12670.1
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
12659.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
12630.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
12610.2
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
12599.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
12579.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
12577.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
12529.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
12518.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
12495.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
12397.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
12390.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
12389.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
12371.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
12359.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
12338.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
12310.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12305.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
12270.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
12212.7
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
12205.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
12160.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
12151.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
12081.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
12031.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
12021.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
11998.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
11991.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
11963.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
11904.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
11903.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
11834.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
11790.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
11759.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
11757.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
11646.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
11627.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
11561.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
11561.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
11524.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
11502.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
11482.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
11458.3
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
11420.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
11389.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
11267.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
11251.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
11224.5
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
11211.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
11171.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
11094.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
11090.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
11064.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
11059.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
11030.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
10997.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
10924.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
10921.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
10921.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
10919.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
10914.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
10844.0
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
10840.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
10840.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
10831.9
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
10800.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
10792.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10791.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
10780.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
10695.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
10682.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
10664.9
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
10660.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
10632.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
10630.2
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
10575.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
10550.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
10540.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
10527.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
10525.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
10426.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
10397.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
10374.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
10322.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
10310.5
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
10294.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10241.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
10212.5
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
10196.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
10193.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
10192.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
10184.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
10169.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
10168.7
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
10140.1
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
10079.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
10077.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
10045.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
10044.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
10030.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
10005.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
9988.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
9984.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
9978.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
9973.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9944.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
9919.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
9868.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
9823.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
9774.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9727.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
9702.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
9683.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
9634.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
9622.2
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
9614.1
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9609.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
9606.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
9606.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
9592.9
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
9555.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
9535.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
9508.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
9500.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
9450.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
9429.3
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
9420.8
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
9419.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
9379.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
9375.7
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
9355.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
9314.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
9301.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
9288.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
9286.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
9269.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
9244.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
9233.9
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
9223.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
9111.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
9110.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
9090.5
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
9072.9
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
9052.7
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
9048.3
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
9025.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
9024.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
9023.0
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
8927.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
8905.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
8879.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
8871.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
8871.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
8804.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8799.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8785.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
8675.8
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
8664.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
8655.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
8600.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8522.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
8399.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
8342.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
8336.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
8257.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
8216.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
8178.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8163.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
8137.2
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8104.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
8100.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
8065.1
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
8021.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
7938.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7887.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
7880.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
7859.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7788.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
7771.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
7742.4
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7736.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7688.3
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7669.0
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7664.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
7658.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
7574.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
7466.6
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
7464.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7456.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
7383.6
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
7371.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
7366.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7315.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7230.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
7219.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
7177.0
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
7134.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
7096.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
7076.7
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7076.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7046.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7044.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
6901.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6827.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
6819.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6805.1
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
6744.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6714.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6675.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6642.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
6631.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
6543.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
6538.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
6396.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6341.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6278.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6262.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6246.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
6191.1
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
6185.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6107.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6080.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6058.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5999.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5907.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5874.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5872.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5704.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5627.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5538.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5454.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5453.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5397.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5052.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5006.6
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4998.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4780.5
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4666.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4656.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4590.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
4345.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4327.0
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4314.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4215.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3666.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2968.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2591.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2075.8
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2075.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1422.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1343.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
323.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13084.5
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
50665.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
47680.3
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
38848.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
33018.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
31645.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
29081.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
25341.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
24752.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
24001.2
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
23773.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
23258.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
22777.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
22120.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
21445.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
20903.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
20304.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
18942.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
18742.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
18047.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
17569.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
16622.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
16289.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
16102.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
15418.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
14553.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
14492.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
14179.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
13680.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
13653.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
13554.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
13386.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
13028.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
12930.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
12893.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
12737.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
12607.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
12542.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
12381.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
12226.1
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
11930.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
11802.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
11513.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
11466.4
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
11443.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
11343.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
11318.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
11237.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
10803.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
10786.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
10711.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
10689.8
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
10553.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
10275.8
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
10220.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
10149.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
10147.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
10094.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
9894.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
9885.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
9830.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
9640.8
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
9635.6
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
9495.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
9453.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
9216.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
9200.9
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
9187.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
8979.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
8704.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
8697.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
8591.9
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8512.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
8505.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
8423.8
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
8368.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
8244.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
8176.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
8117.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
8100.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7966.0
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
7916.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
7820.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
7813.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
7639.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
7619.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7071.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
7003.8
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6910.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6852.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6522.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
6380.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6315.3
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6009.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5686.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
4790.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4364.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1654.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1461.5
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
21565.1
Number of samples
282
Samples
Sample
Description
TPM
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
67205.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
65799.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
61327.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
60526.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
55070.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
54328.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
53663.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
53519.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
53367.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
53137.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
52179.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
51377.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
50900.1
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
50885.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
49572.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
48835.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
48533.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
46347.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
45864.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
44970.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
44833.2
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
44699.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
44132.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
44102.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
43674.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
43660.7
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
43656.7
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
42720.9
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
41325.7
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
40766.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
40141.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
39760.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
39660.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
39505.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
39441.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
39203.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
39037.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
38602.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
38531.9
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
37705.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
37557.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
37452.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
37424.8
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
37257.3
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
36606.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
36441.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
36200.5
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
35721.8
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
34946.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
34351.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
34305.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
34232.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
34100.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
33485.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
33135.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
32892.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
32503.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
32488.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
32315.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
32285.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
31593.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
31502.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
31319.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
30913.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
30777.7
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
30547.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
30193.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
29455.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
28674.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
28214.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
27649.1
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
27606.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
27454.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
27281.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
27078.4
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
26905.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
26799.2
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
26714.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
26620.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
26509.3
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
26397.2
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
25946.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
25822.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
25696.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
25590.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
25581.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
25527.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
25328.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
25267.0
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
25081.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
24949.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
24699.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
24194.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
24165.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
24047.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
24045.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
23821.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
23604.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
23529.3
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
23474.7
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
23247.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
23220.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
23174.7
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
23048.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
22988.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
22780.2
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
22521.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
22375.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
22323.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
22246.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
22228.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
22138.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
21912.9
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
21490.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
21455.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
21207.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
21178.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
20974.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
20827.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
20815.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
20812.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
20769.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
20753.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
20743.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
20690.8
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
20517.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
20511.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
20168.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
19920.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
19883.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
19831.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
19817.5
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
19806.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
19796.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
19754.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
19737.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
19641.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
19572.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
19572.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
19535.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
19254.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
18212.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
17963.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
17908.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
17667.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
17555.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
17490.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
17350.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
17325.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
17245.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
17101.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
16898.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
16759.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
16653.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
16591.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
16508.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
16502.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
16383.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
16198.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
16048.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
15929.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
15572.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
15570.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
15280.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
15101.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
15048.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
14938.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
14904.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
14866.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
14798.6
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
14621.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
14604.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
14559.6
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
14383.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
14379.8
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
14210.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
14143.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
14081.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
14063.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
13945.5
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
13922.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
13904.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
13684.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
13620.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
13559.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
13436.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
13307.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
13293.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
13180.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
13106.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
13049.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
12965.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
12957.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
12936.6
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
12801.7
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
12674.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
12658.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
12637.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
12509.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
12479.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
12359.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
12254.5
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
12195.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
12174.1
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
12143.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
12012.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
11988.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
11662.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
11529.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
11453.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
11310.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
11290.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
11268.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
11226.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
11220.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
11130.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
10990.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
10963.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
10911.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
10764.2
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
10621.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
10572.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
10552.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
10512.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
10504.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
10247.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
10139.7
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
10069.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
9831.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
9760.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
9686.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
9683.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
9622.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
9558.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
9276.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
9205.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
9117.3
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
9073.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
9052.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
8734.9
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
8571.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
8542.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
8497.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
8424.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
8383.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
8379.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
8359.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
8137.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
7976.7
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
7880.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
7869.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
7853.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
7351.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
7185.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6977.2
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
6758.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
6663.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6624.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
6562.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6347.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
6014.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5974.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5778.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5745.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5467.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
5387.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5376.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
5289.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5097.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4992.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4948.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4821.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4678.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4590.5
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4536.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3908.8
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
3792.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2578.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2423.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2293.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1888.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1645.7
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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
