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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-ND4 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
40733.1
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
125533.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
98934.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
73064.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
67303.9
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
64082.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
61700.0
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
59375.9
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
57968.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
55392.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
55389.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
53004.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
51538.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
50935.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
50811.5
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
48651.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
47298.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
47201.0
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
46410.2
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
46270.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
45843.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
45654.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
44853.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
44317.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
43735.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
42768.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
40294.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
40043.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
40008.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
39934.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
39869.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
39848.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
39546.0
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
39450.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
38802.6
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
38384.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
36936.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
36105.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
35762.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
34904.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
34273.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
34249.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
33794.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
33784.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
33248.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
32163.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
32012.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
30272.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
29930.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
28755.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
27214.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
26608.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
26321.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
25370.0
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
25269.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
24878.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
24679.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
24645.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
24045.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
22522.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
20902.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
17476.7
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
13501.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
12622.8
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
18281.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
57148.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
55563.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
53774.2
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
53090.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
50139.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
49458.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
49141.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
48928.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
47170.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
46593.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
46127.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
45939.6
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
45814.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
45670.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
45365.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
44972.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
44459.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
43788.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
43175.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
42539.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
42433.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
41729.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
41232.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
41053.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
40643.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
39872.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
39862.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
39797.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
39434.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
39366.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
39015.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
38447.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
38192.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
37845.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
37712.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
37562.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
37247.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
37172.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
36857.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
36383.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
36248.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
35917.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
35562.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
35519.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
35235.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
34938.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
34835.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
34774.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
34475.8
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
34023.5
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
33546.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
33135.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
33046.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
33046.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
32864.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
32862.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
32831.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
32755.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
32191.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
32172.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
32150.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
32136.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
31844.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
31711.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
31535.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
31497.5
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
31420.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
31180.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
31116.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
30796.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
30591.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
30409.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
30380.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
30160.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
30014.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
29897.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
29641.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
29537.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
29226.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
28828.7
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
28699.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
28487.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
28251.5
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
28232.9
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
27831.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
27827.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
27780.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
27455.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
27387.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
27158.8
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
27141.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
26973.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
26910.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
26444.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
26438.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
26236.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
26108.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
25970.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
25946.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
25844.2
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
25752.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
25627.1
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
25395.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
25239.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
25222.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
25192.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
25172.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
25166.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
24951.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
24935.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
24792.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
24753.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
24731.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
24594.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
24527.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
24484.8
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
24475.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
24407.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
24297.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
24217.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
24176.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
23996.1
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
23885.1
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
23815.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
23794.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
23668.3
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
23601.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
23522.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
23517.1
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
23432.0
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
23321.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
23276.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
23273.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
23103.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
23052.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
23026.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
23004.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
22943.2
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
22847.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
22745.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
22534.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
22497.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
22486.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
22396.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
22338.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
22338.4
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
22203.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
22115.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
22074.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
22023.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
21765.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
21696.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
21638.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
21580.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
21554.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
21462.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
21454.0
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
21428.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
21423.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
21415.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
21407.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
21341.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
21275.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
21195.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
21105.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
20998.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
20912.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
20882.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
20873.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
20756.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
20738.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
20715.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
20697.4
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
20612.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
20587.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
20510.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
20484.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
20391.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
20346.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
20211.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
20200.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
20191.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
20095.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
20027.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
20001.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
19983.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
19974.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
19969.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
19928.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
19927.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
19743.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
19692.8
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
19608.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
19472.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
19449.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
19389.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
19090.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
18927.1
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
18715.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
18677.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
18668.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
18656.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
18601.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
18523.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
18488.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
18412.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
18220.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
18208.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
18147.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
18123.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
18093.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
18023.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
17966.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
17956.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
17855.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
17800.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
17794.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
17788.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
17749.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
17626.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
17522.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
17495.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
17419.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
17347.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
17238.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
17155.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
17154.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
17076.7
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
17041.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
16984.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
16931.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
16862.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
16798.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
16784.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
16761.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
16747.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
16744.4
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
16686.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
16668.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
16657.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
16570.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
16564.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
16550.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
16483.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
16375.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
16322.6
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
16218.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
16141.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
16122.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
16102.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
15950.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
15940.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
15860.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
15836.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
15819.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
15759.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
15664.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
15662.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
15486.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
15452.9
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
15404.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
15335.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
15318.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
15217.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
15187.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
15157.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
15129.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
15129.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
15068.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
15067.2
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
15052.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
14914.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
14899.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
14877.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
14814.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
14733.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
14706.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
14704.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
14658.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
14654.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
14626.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
14599.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
14502.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
14495.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
14384.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14230.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
14166.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
14165.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
14164.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
14119.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
14107.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
14105.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
14104.6
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
14079.6
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
14043.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
14022.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
14018.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
13988.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
13986.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
13933.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
13932.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
13885.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
13880.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
13852.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
13847.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
13837.1
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13814.7
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
13768.0
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
13764.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
13762.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
13740.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
13700.9
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
13681.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
13667.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
13648.0
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
13577.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
13568.3
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
13538.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
13532.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
13495.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
13431.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
13369.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
13345.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
13285.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
13205.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
13186.2
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
13174.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
13139.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
13094.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
13085.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
13027.1
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
12987.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
12977.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
12909.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
12896.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
12788.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
12782.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
12706.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
12690.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
12579.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
12568.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
12561.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
12550.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12542.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
12524.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
12511.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
12509.2
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
12493.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
12472.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
12458.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
12367.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
12343.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
12270.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
12165.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12111.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
12079.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
12071.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
12054.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12012.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
11948.9
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
11937.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
11786.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
11759.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
11710.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
11705.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
11605.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
11585.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
11467.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
11440.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
11369.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
11299.5
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
11220.1
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
11217.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
11138.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
11130.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
11113.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
11090.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
11041.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
10995.7
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
10952.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
10856.0
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
10849.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
10848.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
10808.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
10791.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
10790.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
10750.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
10748.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
10736.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
10693.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
10662.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
10656.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
10640.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
10632.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
10616.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
10607.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
10520.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
10502.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
10477.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
10471.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
10470.5
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
10434.2
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
10406.9
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
10356.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
10331.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
10317.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
10275.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
10185.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
10179.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
10134.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
10105.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
9921.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
9918.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
9904.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
9892.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
9848.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
9838.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
9801.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
9790.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9753.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
9751.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
9744.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
9665.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
9660.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
9645.4
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
9604.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
9535.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
9490.1
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
9437.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
9436.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
9424.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
9395.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
9347.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
9304.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
9294.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
9282.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
9142.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
9068.5
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
8943.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
8927.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
8877.2
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8825.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8815.6
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
8614.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
8596.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
8508.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
8456.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
8427.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
8390.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
8383.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
8345.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
8338.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
8306.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
8145.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
8106.9
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8103.9
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
8087.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
8082.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
7974.8
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7855.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7814.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
7739.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
7716.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
7675.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
7655.7
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
7548.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7422.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
7406.2
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
7387.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7370.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
7303.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
7260.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7216.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
7213.8
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7192.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
7172.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
7086.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7024.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6979.5
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
6919.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6802.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6715.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6707.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6688.2
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6626.0
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6617.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
6581.2
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6382.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6364.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6339.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
6309.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6259.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6116.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6110.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6046.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6038.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5999.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5922.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5833.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5774.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5673.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
5609.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
5414.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5367.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5349.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5223.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4937.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
4577.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4463.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4393.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4094.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3109.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2634.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2571.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2223.5
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1922.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1909.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1737.0
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
644.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
95.5
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-ND4 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
12742.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
48608.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
36416.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
31613.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
25344.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
24910.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
24832.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
23576.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
23382.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
23189.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
22233.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
21178.3
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
20281.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
19831.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
19776.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
19536.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
18397.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
17861.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
17369.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
17175.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
17148.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
17078.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
16506.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
16405.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
15940.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
15669.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
15117.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
14989.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
14216.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
14048.4
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
13404.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
13326.0
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
13302.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
13176.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
13017.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
12966.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
12915.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
12371.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
12228.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
12053.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
11951.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
11914.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
11833.5
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
11765.9
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
11687.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
11627.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
11417.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
11324.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11185.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
11171.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
11138.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
11057.4
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
11037.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
11024.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
10965.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
10872.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
10826.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
10801.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
10733.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
10720.6
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
10715.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
10679.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
10578.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
10519.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
10319.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
10132.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
10108.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
10062.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
9889.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
9785.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
9494.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
9445.0
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
9055.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
8866.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
8698.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
8676.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
8636.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
8213.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
8147.7
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
7902.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
7685.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
7655.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
7508.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
7503.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
7320.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
7320.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6923.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
6877.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6714.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6587.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
6497.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6465.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
6140.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6004.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5593.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5346.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5341.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2383.6
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1293.6
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-ND4 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
24053.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
105470.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
95196.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
88901.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
83583.9
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
76840.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
75064.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
63336.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
61997.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
60517.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
59788.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
59741.4
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
56800.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
54914.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
53660.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
52776.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
52282.6
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
51246.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
51240.3
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
50695.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
49871.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
49765.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
48421.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
46607.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
46169.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
45939.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
45870.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
45767.4
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
45545.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
45256.6
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
44983.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
44657.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
43691.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
43268.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
42690.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
42581.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
42133.7
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
41081.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
40511.8
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
40324.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
40213.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
39731.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
38984.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
38575.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
38399.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
38388.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
38117.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
38057.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
37647.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
37502.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
37323.4
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
37146.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
36327.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
36208.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
35884.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
35248.3
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
35061.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
34805.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
34707.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
34359.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
34275.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
34133.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
33611.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
33597.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
33374.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
33344.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
32933.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
32925.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
32653.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
32440.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
32438.4
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
32364.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
32296.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
32180.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
32106.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
32085.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
31662.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
31471.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
31428.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
31328.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
31302.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
31226.9
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
30902.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
30376.0
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
30038.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
29891.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
29883.6
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
29871.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
29845.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
29147.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
29037.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
28953.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
28559.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
28321.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
28304.1
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
28220.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
28117.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
28028.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
27576.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
27561.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
27237.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
27206.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
26840.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
26667.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
26515.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
26436.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
26425.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
26216.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
25659.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
25645.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
25577.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
25348.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
25280.7
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
24675.3
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
24397.1
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
24267.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
23762.9
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
23414.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
23253.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
23133.4
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
22975.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
22939.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
22904.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
22594.8
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
22534.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
22344.4
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
22301.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
22073.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
21864.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
21356.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
21257.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
21096.1
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
21054.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
20917.1
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
20787.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
20432.4
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
20343.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
20320.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
20125.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
19959.7
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
19801.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
19674.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
19638.1
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
19418.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
19181.7
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
19176.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
19063.8
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
18747.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
18724.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
18713.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
18650.6
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
18617.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
18576.9
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
18561.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
18467.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
18417.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
18191.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
18098.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
18093.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
18079.9
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
17936.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
17775.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
17401.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
17265.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
16732.8
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
16723.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
16513.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
16360.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
16098.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
16065.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
16047.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
15781.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
15775.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
15758.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
15698.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
15697.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
15682.9
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
15629.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
15483.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
15305.2
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
15216.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
15076.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
14874.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
14619.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
14578.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
14546.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
14488.4
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
14463.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
14364.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
13820.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
13521.8
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
13408.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
13288.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
13273.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
13245.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
13146.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
13111.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
13105.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
13082.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
13062.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
13015.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
12929.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
12707.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
12628.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
12440.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
12384.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
12358.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
12304.5
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
12198.9
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
12118.5
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
12105.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
12103.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
12003.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
11953.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
11894.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
11795.5
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
11588.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
11502.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
11411.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
11368.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
10943.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
10943.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
10817.0
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
10676.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
10611.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
10517.1
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
10386.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
10357.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
10245.8
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
10148.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
10001.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
9982.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
9900.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
9897.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
9896.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
9838.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
9549.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
9523.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
9366.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
9271.4
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
9257.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
9185.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9180.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
9159.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
9114.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
9070.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
9034.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
8934.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
8910.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
8809.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
8584.9
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
8541.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
8539.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
8317.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
8298.9
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
8271.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
8055.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7756.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
7545.7
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
7521.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
7455.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
7080.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
6902.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6493.0
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
6057.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
6021.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6000.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5846.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
5811.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5803.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5588.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
5587.4
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5354.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
5250.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4816.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4726.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
4547.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4445.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4131.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2831.1
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2705.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2390.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1598.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
