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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-ND4L is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
23873.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
64368.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
55534.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
46013.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
43642.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
41928.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
37081.2
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
36800.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
36433.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
35862.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
33201.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
31615.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
31172.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
30590.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
29900.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
29321.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
28598.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
28076.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
28045.3
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
27653.1
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
27287.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
26439.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
25834.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
24537.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
24143.6
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
24072.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
23739.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
23378.9
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
23055.8
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
22992.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
22335.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
22171.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
22086.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
21859.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
21826.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
21569.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
21126.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
21103.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
21016.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
20629.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
20268.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
19983.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
19382.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
19094.5
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
19089.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
18504.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
18295.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
17789.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
17016.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
16629.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
16403.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
15822.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
15749.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
15657.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
15490.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
14736.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
14057.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
13929.6
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
13053.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
11785.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
10882.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
9355.1
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
9172.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
8436.0
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-ND4L is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
15897.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
51449.0
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
49892.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
49017.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
48785.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
46934.4
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
45248.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
44662.1
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
44366.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
42661.0
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
39571.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
38291.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
37466.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
37370.3
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
37285.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
36846.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
36353.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
35650.9
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
35024.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
34904.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
34560.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
34213.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
33664.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
33508.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
33100.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
33055.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
32813.5
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
32615.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
32290.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
32134.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
31780.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
31694.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
31536.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
31400.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
31359.7
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
31072.0
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
30860.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
30776.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
30546.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
30451.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
30346.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
30250.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
29879.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
29846.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
29598.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
29564.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
29516.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
29467.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
29423.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
29355.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
29233.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
29158.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
28936.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
28828.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
28735.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
28704.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
28257.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
28024.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
27927.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
27611.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
27266.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
27120.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
26918.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
26850.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
26713.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
26708.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
26319.0
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
26068.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
25955.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
25825.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
25813.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
25625.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
25562.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
25559.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
25528.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
25520.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
25249.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
25145.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
25144.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
25135.5
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
25134.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
24999.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
24759.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
24751.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
24117.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
23993.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
23983.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
23899.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
23682.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
23632.7
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
23589.2
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
23408.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
23294.8
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
23264.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
23222.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
23058.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
23034.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
22873.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
22844.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
22825.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
22819.4
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
22783.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
22566.1
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
22559.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
22538.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
22512.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
22462.0
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
22362.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
22267.9
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
22245.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
22181.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
22110.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
22104.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
22012.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
21951.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
21735.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
21723.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
21634.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
21538.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
21529.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
21483.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
21382.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
21372.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
21150.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
21106.0
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
21094.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
20991.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
20978.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
20906.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
20807.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
20701.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
20598.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
20552.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
20493.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
20419.1
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
20359.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
20244.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
20179.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
20148.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
20108.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
20084.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
20049.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
19972.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
19847.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
19558.4
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
19449.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
19429.4
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
19333.8
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
19259.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
19207.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
19017.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
18999.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
18919.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
18793.9
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
18789.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
18748.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
18746.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
18736.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
18719.1
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
18646.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
18405.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
18397.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
18134.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
17947.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
17943.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
17893.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
17878.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
17835.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
17775.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
17758.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
17738.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
17722.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
17601.6
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
17569.8
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
17517.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
17508.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
17429.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
17398.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
17338.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
17232.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
17202.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
17140.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
17133.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
17087.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
17073.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
16983.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
16854.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
16848.1
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
16819.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
16770.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
16692.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
16668.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
16576.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
16572.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
16558.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
16558.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
16498.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
16416.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
16324.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
16290.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
16269.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
16245.2
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
16222.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
16184.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
16084.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
16080.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
16032.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
16018.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
15949.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
15927.8
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
15910.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
15832.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
15787.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
15673.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
15654.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
15648.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
15572.4
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
15497.0
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
15491.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
15412.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
15385.8
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
15347.2
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
15279.6
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
15248.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
15104.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
15094.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
15025.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
15023.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
15008.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
14994.6
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
14974.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
14974.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14955.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
14939.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
14922.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
14886.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
14837.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
14760.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
14708.5
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
14708.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
14700.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
14543.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
14466.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
14416.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
14408.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
14390.4
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
14229.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
14191.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
14174.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
14020.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
14013.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
13994.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
13989.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
13983.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
13965.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
13932.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
13929.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
13925.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
13872.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
13837.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
13751.1
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
13743.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
13675.0
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
13651.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
13619.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
13559.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
13482.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
13464.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
13437.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
13426.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
13399.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
13388.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
13370.0
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
13350.9
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
13276.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
13195.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
13181.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
13162.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
13156.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
13001.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
12987.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
12986.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
12964.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
12963.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
12944.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
12937.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
12926.7
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12904.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12891.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
12854.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
12842.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
12826.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
12796.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
12788.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
12784.0
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
12739.7
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
12739.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
12686.9
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
12666.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
12631.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
12609.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
12571.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
12564.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
12551.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
12543.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
12539.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
12509.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
12471.8
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
12464.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
12461.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
12458.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
12449.3
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
12444.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
12437.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
12387.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
12381.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
12341.9
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
12338.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12306.3
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
12290.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
12277.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
12068.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
12050.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
12042.6
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
12031.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
11988.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
11946.9
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
11940.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
11885.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
11803.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
11802.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
11787.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
11753.6
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
11748.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
11720.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
11713.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
11708.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
11701.2
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
11666.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
11641.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
11605.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
11530.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
11529.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
11492.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
11464.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
11422.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
11416.8
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
11378.7
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
11330.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
11260.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
11241.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
11174.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
11157.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
11071.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
10969.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
10940.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
10929.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
10924.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
10872.5
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
10856.9
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
10844.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
10818.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10653.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
10646.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
10593.9
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
10578.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
10488.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
10488.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
10438.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
10419.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
10396.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
10387.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
10342.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
10314.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
10206.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10180.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
10179.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
10173.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
10170.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
10133.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
10110.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
10069.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
10048.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
10004.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
9956.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
9949.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
9937.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
9924.7
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9886.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
9815.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
9708.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
9697.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
9672.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
9648.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
9616.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
9564.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
9523.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
9520.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
9515.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
9452.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
9329.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
9293.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
9292.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
9274.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
9268.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
9137.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
9081.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
9046.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
9010.4
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
9007.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
8894.8
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
8835.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
8831.3
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
8791.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
8777.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8769.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
8720.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
8689.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
8668.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
8617.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8554.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
8553.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
8540.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
8524.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
8477.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8370.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8340.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
8323.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
8302.7
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8257.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
8218.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8091.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8069.9
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8009.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
8005.7
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
7972.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
7914.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
7820.5
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7816.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
7783.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
7722.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7646.5
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7629.7
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
7550.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
7516.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7480.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7475.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
7450.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7395.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7383.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7352.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
7120.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
7113.4
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7106.4
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7084.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6981.4
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
6932.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6915.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
6911.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6898.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
6890.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6844.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
6843.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6825.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
6790.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6778.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6774.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
6728.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6726.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
6691.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6668.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
6589.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6531.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6519.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6500.8
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6456.8
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6435.1
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
6427.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6302.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
6250.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6213.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
6205.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6142.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5805.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5751.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5740.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5706.8
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
5674.2
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5632.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5579.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5421.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5419.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5405.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
5371.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5189.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
5135.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
5118.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5102.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
5073.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5066.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4974.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4945.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4866.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4817.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4773.6
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4275.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4268.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4153.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3893.8
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3471.9
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2718.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2483.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2290.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2137.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2137.5
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
2058.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1696.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1694.8
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1596.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
396.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
146.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4L is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
16605.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
46213.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
43483.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
39495.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
36271.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
35952.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
35492.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
33881.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
33576.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
32352.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
31837.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
31049.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
29472.3
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
27043.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
24413.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
23966.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
23374.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
23295.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
22460.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
22364.0
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
21726.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
21338.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
20466.6
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
20267.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
19434.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
18523.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
18206.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
18030.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
17997.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
17416.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
17286.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
17199.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
17067.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
17032.2
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
17022.1
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
16854.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
16770.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
16197.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
16163.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
16125.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
16039.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
15961.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
15845.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
15787.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
15721.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
15711.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
15671.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
15635.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
15555.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
15433.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
14990.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
14974.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
14757.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
14579.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
14517.6
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
14367.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
14250.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
14146.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
14038.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
13804.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
13589.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
13548.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
13402.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
13230.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
13162.8
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
13150.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
13135.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
13077.4
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
12723.2
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
12701.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
12235.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
12170.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
12029.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
11935.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
11930.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11709.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
11596.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
11590.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
11373.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
10961.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
10353.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
9888.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
9805.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
9718.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
9489.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
9323.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
9123.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
9095.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
8916.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
8662.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
8595.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
8460.4
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
8221.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7827.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
7735.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7467.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3918.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3565.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1579.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
403.7
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-ND4L is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
15210.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
82424.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
63399.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
55030.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
54900.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
43222.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
40392.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
39584.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
38740.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
38472.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
38269.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
38258.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
38015.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
37391.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
36819.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
35566.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
35512.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
35143.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
34479.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
34165.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
34157.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
33281.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
31851.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
30904.8
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
29886.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
29586.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
29256.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
29215.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
28954.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
28924.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
28662.7
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
28531.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
28314.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
27928.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
27789.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
27698.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
27687.3
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
26740.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
26642.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
26606.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
26373.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
26348.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
26340.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
26236.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
25888.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
25389.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
24949.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
24819.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
24810.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
24594.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
24324.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
24281.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
24133.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
24057.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
24051.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
23965.1
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
23938.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
23359.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
22927.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
22814.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
22631.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
22526.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
22378.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
22346.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
22281.9
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
22268.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
22080.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
21899.1
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
21778.4
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
21612.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
21488.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
21430.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
21267.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
21001.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
20719.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
20163.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
20081.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
19841.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
19653.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
19607.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
19494.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
19415.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
19111.9
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
18590.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
18547.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
18446.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
18437.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
18052.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
18020.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
17974.1
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
17886.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
17484.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
17452.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
17437.6
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
17285.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
17269.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
17116.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
17112.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
16997.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
16988.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
16978.9
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
16861.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
16830.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
16765.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
16481.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
16181.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
15572.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
15425.0
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
15417.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
15347.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
15284.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
15276.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
15009.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
14940.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
14938.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
14916.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
14829.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
14543.1
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
14512.5
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
14375.1
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
14139.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
14105.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
13924.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
13708.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
13642.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
13623.8
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
13591.7
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
13563.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
13532.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
13371.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
13346.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
13101.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
12975.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
12966.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
12833.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
12821.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
12817.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
12691.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
12680.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
12674.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
12653.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
12508.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
12474.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
12390.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
12387.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
12193.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
12058.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
11887.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
11875.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
11828.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
11813.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
11767.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
11634.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
11634.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
11445.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
11332.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
11296.0
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
11117.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
10895.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
10719.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
10718.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
10718.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
10650.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
10627.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
10598.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
10571.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
10491.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
10419.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
10389.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
10362.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
10343.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
10330.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
10263.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
10244.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
10115.7
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
10000.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
9854.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
9819.4
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
9782.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
9738.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
9676.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
9626.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
9604.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
9494.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
9370.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
9158.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
9156.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
9109.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
8946.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
8937.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
8859.4
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
8818.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
8668.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
8667.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
8615.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
8548.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
8542.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
8489.3
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
8447.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
8197.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
8189.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
8178.3
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
8175.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
8145.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
7811.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7807.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
7790.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
7767.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
7549.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
7538.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
7475.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
7455.2
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
7315.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
7285.5
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
7246.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7210.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
7140.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6993.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
6950.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
6729.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6707.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
6603.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6461.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
6434.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
6415.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
6210.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
6150.0
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
6094.4
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
6085.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6046.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
5946.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
5894.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
5739.9
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
5695.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5611.3
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
5543.6
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
5431.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
5353.0
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5230.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
5187.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5133.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
5056.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
5042.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5006.3
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4922.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4767.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
4730.3
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4701.1
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4597.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4585.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4525.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4405.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4323.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4320.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
4307.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4306.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
4091.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
4013.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3734.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3668.1
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3459.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3373.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
3361.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3148.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3077.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2942.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2809.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2774.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2600.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2596.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2564.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2504.2
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2284.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2243.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2035.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
1778.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1446.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1280.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
952.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
916.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
783.4
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
572.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
217.6
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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.
The Human Protein Atlas project is funded
