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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-ND6 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12154.2
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
34689.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
32079.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
29523.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
27962.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
25016.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
21558.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
20997.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
20189.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
20108.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
20017.5
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
18894.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
18157.7
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
16644.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
16033.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
15994.5
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
15983.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
15024.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
14251.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
14025.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
14008.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
13913.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
13844.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
13612.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
13489.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
13440.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
12744.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
12734.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
12425.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
12029.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
11909.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
11653.8
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
11481.7
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
11306.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
10969.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
10940.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
10673.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
10396.0
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
10328.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
10312.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
10216.0
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
8942.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
8934.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
8764.2
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
8669.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
8422.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
8114.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
7308.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
7113.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
6923.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
6523.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
6437.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
5798.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
5692.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
5085.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
5074.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
4314.6
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
3952.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
3939.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
3281.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1478.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1404.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1250.2
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
812.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND6 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7907.5
Number of samples
521
Samples
Sample
Description
TPM
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
36870.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
32494.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
30713.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
27542.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
27491.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
27291.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
26831.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
26381.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
25014.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
25012.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
21716.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
20960.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
20179.8
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
20020.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
19956.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
19825.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
19774.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
19622.4
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
19324.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
19016.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
18998.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
18793.1
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
18643.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
18542.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
18481.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
18374.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
17876.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
17840.6
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
17724.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
17684.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
17673.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
17670.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
17604.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
17356.8
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
17328.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
17240.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
17152.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
17149.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
17098.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
16921.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
16810.6
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
16537.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
16022.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
15970.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
15966.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
15927.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
15916.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
15862.2
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
15654.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
15654.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
15389.0
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
15309.5
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
15238.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
15205.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
15203.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
14968.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
14858.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
14747.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
14444.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
14432.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
14370.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
14259.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
14218.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
14209.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
14139.7
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
14037.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
14033.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
13999.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
13976.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
13709.7
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
13571.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
13523.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
13375.8
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
13341.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
13218.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
13192.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
13186.5
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
13170.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
13154.3
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
13092.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
12973.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
12951.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
12907.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
12822.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
12778.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
12652.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
12547.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
12528.9
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
12496.0
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
12429.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
12377.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
12228.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
12201.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
12162.9
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
12129.1
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
12076.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
12052.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
12035.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
11953.7
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
11889.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
11851.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
11815.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
11799.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
11754.1
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
11717.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
11557.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
11478.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
11407.1
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
11406.8
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
11331.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
11331.3
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
11228.6
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
11164.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
11123.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
11078.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
11051.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
11050.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
11034.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
11021.7
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
10921.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
10909.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
10902.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
10889.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
10810.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
10781.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
10777.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
10742.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
10714.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
10713.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
10706.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
10687.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
10676.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
10614.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
10532.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10484.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
10457.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
10418.7
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
10343.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
10319.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
10308.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
10298.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
10182.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
10166.1
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
10055.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
9978.9
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
9943.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
9919.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
9792.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
9791.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
9752.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
9731.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
9723.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
9716.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
9696.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
9650.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
9605.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
9565.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
9475.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
9435.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
9332.4
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
9323.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
9238.8
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
9234.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
9140.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
9118.8
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9093.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
9062.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
9015.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
9004.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
9000.7
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
8993.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
8969.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
8930.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8896.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
8881.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
8817.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
8815.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
8755.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
8739.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
8698.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
8685.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
8651.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
8630.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8594.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
8591.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
8561.9
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
8555.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
8444.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
8431.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
8419.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
8418.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
8404.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
8386.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
8343.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
8338.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
8328.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
8273.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
8253.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
8240.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
8127.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
8092.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
8087.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
7903.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7880.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7859.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
7835.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
7830.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
7823.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
7811.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
7777.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
7775.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
7739.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
7722.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7597.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
7586.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
7573.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7560.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7526.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
7496.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
7455.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
7445.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7430.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
7400.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
7398.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
7370.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
7351.6
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
7340.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7283.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
7241.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
7230.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
7204.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
7189.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
7181.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7167.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7153.6
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
7148.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
7144.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
7134.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
7120.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
7115.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
7083.3
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
7060.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
7044.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
7034.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
7015.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
7007.3
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
7000.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
6992.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6975.9
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
6949.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
6948.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
6944.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6894.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
6874.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
6829.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
6826.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
6759.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
6736.8
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
6727.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
6723.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6723.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
6711.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
6654.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6651.7
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
6637.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
6580.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
6575.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
6551.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6517.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6465.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6458.0
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
6429.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6420.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
6404.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
6381.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
6338.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
6295.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
6294.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6192.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
6140.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
6111.6
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
6057.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
6020.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
6014.8
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5959.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
5923.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5901.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
5894.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
5885.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5845.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5820.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5794.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5781.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5726.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
5705.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5674.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
5672.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
5672.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5665.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5641.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
5639.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
5637.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5636.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
5625.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5604.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
5596.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5562.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
5537.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
5525.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
5481.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
5472.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5470.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5463.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5378.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5367.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5365.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
5356.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5346.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
5342.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
5330.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5291.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5278.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5265.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
5221.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
5216.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5206.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
5184.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
5180.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
5156.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
5148.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
5148.4
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5128.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
5121.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5116.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5111.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
5083.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
5075.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
5046.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5040.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5014.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
4995.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4962.1
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4959.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4949.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4945.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
4939.4
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4929.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
4909.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
4901.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4837.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4821.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4816.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
4801.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
4775.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4750.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4713.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4705.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
4705.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
4680.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4669.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4656.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
4633.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4631.3
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
4611.4
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4603.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4597.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
4556.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4551.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
4517.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4513.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
4502.3
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
4484.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4474.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4464.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4448.0
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4428.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4403.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4390.9
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
4390.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4385.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4371.1
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4358.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
4278.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4277.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4273.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
4205.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4184.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4168.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4156.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4139.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4122.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4117.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4092.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4074.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4061.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4026.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4025.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4025.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3976.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3969.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3955.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3941.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3916.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3886.0
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3831.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3822.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3816.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3815.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3764.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3752.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3721.2
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
3717.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3630.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3627.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3591.0
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3549.5
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3511.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3505.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3464.3
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3444.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3405.9
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3364.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3359.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3342.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3313.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3304.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3205.3
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3156.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3141.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3131.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3103.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3098.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3078.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3061.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3024.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3012.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
2997.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2949.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2921.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2900.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2843.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2841.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2837.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2813.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2770.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2729.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2728.2
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2727.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2725.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2701.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2655.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2644.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2643.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2631.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2623.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2576.9
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
2572.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2554.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2548.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
2536.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2523.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2481.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2461.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2423.6
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2417.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2397.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2315.5
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2300.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2285.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2265.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2261.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2252.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2240.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2239.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2230.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2204.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2197.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2188.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2181.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2175.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2171.0
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2166.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2147.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2065.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2031.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1995.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1988.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1965.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1943.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1908.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1888.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1798.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
1760.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1758.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1735.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1733.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1722.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1709.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1563.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1528.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1528.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1473.3
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1443.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1396.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1356.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1352.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1339.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1290.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1108.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1008.7
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
997.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
966.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
951.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
769.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
695.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
639.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
617.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
404.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
199.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
60.0
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-ND6 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5807.4
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
18793.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
14481.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
13715.4
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
13294.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
13087.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
12988.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
12117.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
11809.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
11128.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
11089.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
10970.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
10937.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
10653.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
10264.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
9823.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
8908.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
8882.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
8807.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
8719.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
8623.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
8575.3
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
8336.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
8270.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
8127.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8049.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
7890.4
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
7743.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
7404.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
7297.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
7293.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
7122.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7049.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
6994.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
6979.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
6900.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
6840.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
6484.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
6005.0
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
5962.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
5930.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5906.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
5744.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5665.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
5657.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5647.8
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5561.6
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
5542.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
5502.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5499.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
5407.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5368.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
5322.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
5316.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
5297.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5008.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
4987.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
4826.3
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
4804.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4757.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
4603.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4541.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
4432.7
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4410.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4316.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4006.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3788.9
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3764.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
3747.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3516.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3382.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3326.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
3293.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3151.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2958.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2847.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2630.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2606.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2602.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2572.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2566.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2462.6
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2443.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2394.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2336.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2172.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2114.7
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2092.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2013.3
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1867.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1808.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1725.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1503.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1463.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1287.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1074.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
992.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
956.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
424.6
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND6 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7424.5
Number of samples
282
Samples
Sample
Description
TPM
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
44053.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
26426.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
25682.2
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
24500.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
23686.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
22351.5
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
20236.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
20113.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
19412.9
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
19295.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
18983.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
18557.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
18139.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
17504.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
17335.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
16955.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
16871.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
16701.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
16382.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
16035.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
15916.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
15757.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
15658.2
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
15618.4
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
15454.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
15379.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
15286.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
15266.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
14842.6
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
14530.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
14397.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
14298.9
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
14232.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
14198.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
13959.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
13912.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
13841.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
13152.7
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
13094.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
13015.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
12903.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
12799.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
12611.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
12427.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
12394.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
12359.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
12151.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
12033.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
11920.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
11846.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
11817.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
11813.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
11655.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
11517.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
11403.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
11391.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
11376.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
11367.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
11055.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
10846.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
10652.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
10633.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
10587.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
10498.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
10474.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
10468.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
10291.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
10180.0
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
10125.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
10118.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
9814.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
9763.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
9749.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
9655.6
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
9626.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
9623.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
9606.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
9462.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
9456.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
9419.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
9358.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
9357.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
9163.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
9108.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
9103.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
8983.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
8974.9
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
8973.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
8940.9
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
8937.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
8691.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
8620.8
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
8546.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
8542.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
8518.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8518.1
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
8497.2
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
8455.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
8418.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
8382.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
8369.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
8358.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
8350.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
8333.9
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
8079.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
8029.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
7967.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
7951.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
7750.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
7730.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
7714.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
7697.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
7686.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
7549.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
7419.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
7374.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
7344.8
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
7302.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
7170.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
7122.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
7069.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
7064.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
7027.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
7009.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6992.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
6981.3
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
6856.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
6811.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
6777.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
6771.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
6734.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
6660.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
6643.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
6601.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
6570.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6307.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
6286.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
6278.7
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
6261.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
6226.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
6184.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
6158.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
6151.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
6099.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
6093.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
6023.7
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
5897.9
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
5875.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5833.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
5832.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
5819.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
5813.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
5693.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5690.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
5663.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
5660.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
5583.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
5528.9
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
5491.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
5471.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
5418.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
5385.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
5300.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
5298.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
5227.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5224.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
5192.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
5178.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
5146.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
5136.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4990.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4988.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4927.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
4839.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4816.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
4801.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4752.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4727.6
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
4727.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4715.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
4701.5
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4678.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4487.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4458.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
4442.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
4408.6
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4385.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4339.1
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4294.1
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
4219.2
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4211.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
4150.2
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
4109.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4085.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
4061.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3975.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3958.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
3892.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3845.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3803.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3699.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
3683.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3666.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3651.9
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3620.8
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3607.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3602.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3580.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3543.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3412.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
3396.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
3394.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3377.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3375.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3368.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
3346.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
3343.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3094.5
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3009.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2987.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2967.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2934.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2928.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2863.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2681.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2634.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2628.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
2620.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2599.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2554.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2489.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2403.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
2395.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2388.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2377.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2371.6
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2280.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2235.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2234.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2176.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2161.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2144.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2087.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2042.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2037.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
2029.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1990.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1942.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1910.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1883.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1843.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1796.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1739.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1713.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1708.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1605.8
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1582.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1550.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1509.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1490.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1480.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1480.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1435.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1386.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1344.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1335.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1280.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1266.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
1178.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1139.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1023.3
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
994.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
982.3
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
944.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
797.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
784.1
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
657.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
424.6
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
393.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
392.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
299.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
275.3
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
