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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-ND3 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
25320.8
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
84462.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
65043.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
54807.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
44347.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
43449.6
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
43137.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
41476.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
38493.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
38307.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
37418.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
36691.4
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
36645.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
35245.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
34555.6
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
34410.0
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
33415.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
33284.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
32716.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
32705.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
31282.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
29321.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
27802.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
27396.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
27186.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
27123.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
26438.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
26264.7
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
26050.8
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
25745.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
25648.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
24774.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
23435.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
21270.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
20981.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
20707.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
20368.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
20016.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
19960.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
19638.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
19352.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
19300.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
18974.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
18768.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
17868.7
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
17766.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
17162.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
16477.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
15635.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
13832.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
13819.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
13767.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
13711.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
13190.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
12849.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
12132.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
12089.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
11548.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
11149.7
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
10046.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
9193.7
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
8585.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5982.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
4972.6
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-ND3 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13266.2
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
46237.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
43716.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
43043.6
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
42798.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
42701.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
42010.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
41312.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
40440.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
38400.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
36931.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
36636.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
36569.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
35865.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
35692.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
34621.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
34369.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
34095.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
33593.0
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
33564.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
33121.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
32989.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
30463.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
30278.1
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
30228.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
30160.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
29820.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
29310.2
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
29201.8
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
29020.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
28675.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
28288.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
27573.2
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
27257.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
27213.3
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
27210.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
27146.1
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
27129.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
27058.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
27038.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
26879.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
26485.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
26432.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
26157.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
26095.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
26005.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
25848.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
25819.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
25694.8
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
25526.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
25257.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
25113.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
25055.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
24958.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
24898.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
24850.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
24685.9
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
24668.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
24642.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
24634.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
24604.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
24482.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
24195.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
24055.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
24019.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
23740.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
23623.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
23583.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
23411.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
23398.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
23115.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
22641.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
22607.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
22439.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
22415.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
22334.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
22292.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
22034.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
22026.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
22017.8
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
21802.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
21779.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
21735.4
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
21452.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
21198.6
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
21169.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
21125.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
20866.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
20790.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
20787.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
20681.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
20660.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
20545.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
20315.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
20096.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
20008.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
19757.3
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
19746.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
19577.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
19275.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
19178.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
19158.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
19153.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
19061.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
19008.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
18937.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
18722.0
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
18719.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
18607.0
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
18587.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
18576.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
18530.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
18469.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
18387.4
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
18325.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
18148.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
18105.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
18050.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
17960.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
17920.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
17690.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
17611.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
17551.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
17468.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
17455.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
17356.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
17310.2
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
17258.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
17211.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
17201.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
17011.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
16939.0
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
16912.6
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
16866.6
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
16688.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
16662.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
16649.3
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
16434.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
16350.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
16310.8
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
16029.6
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
15983.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
15926.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
15874.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
15825.0
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
15589.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
15568.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
15504.1
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
15233.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
15225.8
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
15200.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
15080.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
15019.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
14933.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
14926.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
14907.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
14870.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
14824.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
14711.4
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
14690.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
14528.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
14510.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
14337.6
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
14319.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
14277.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
14250.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
14235.4
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
14205.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
14183.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
14075.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
14035.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
14022.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
13975.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
13876.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
13857.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
13856.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
13848.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
13778.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
13714.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
13709.0
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
13628.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
13612.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
13585.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
13562.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
13557.9
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
13501.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
13489.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
13381.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
13359.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
13305.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
13212.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
13187.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
13163.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
13098.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
13098.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
13084.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
12990.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
12954.9
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
12875.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
12858.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
12824.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
12791.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
12754.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
12734.6
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
12731.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
12688.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
12686.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
12676.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
12645.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
12626.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
12594.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
12583.8
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
12556.8
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
12524.6
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
12500.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
12491.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
12470.7
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
12418.7
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
12377.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
12372.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
12359.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
12282.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
12217.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
12205.9
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
12191.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
12137.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
12132.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
12103.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
12092.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
12082.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
11987.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
11980.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
11954.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
11923.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
11883.8
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
11864.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
11863.3
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
11839.9
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
11839.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
11792.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
11749.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
11672.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
11662.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
11660.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
11639.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
11568.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
11554.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
11516.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
11505.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
11436.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
11416.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
11373.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
11361.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
11360.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
11345.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
11311.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
11295.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
11219.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
11172.0
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
11169.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
11150.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
11090.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
10987.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
10983.9
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
10949.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
10943.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
10923.6
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
10922.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
10911.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
10891.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
10853.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
10847.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
10784.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
10700.1
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
10685.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
10560.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
10533.9
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
10518.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
10469.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
10399.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
10394.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
10381.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
10345.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
10301.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
10299.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
10257.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
10249.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
10223.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
10114.9
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
10082.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
10059.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
10030.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
9971.9
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
9960.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
9953.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
9934.2
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
9863.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
9787.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
9731.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
9716.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
9639.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
9633.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
9627.5
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
9592.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9582.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
9567.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
9547.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
9545.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
9538.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
9498.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
9496.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
9493.9
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
9459.8
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
9453.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
9444.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
9424.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
9352.1
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
9344.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
9302.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
9298.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
9287.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
9286.7
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
9273.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9254.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9241.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
9229.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
9144.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
9134.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9132.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
9079.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
9059.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
8985.0
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
8980.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
8940.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
8930.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
8900.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
8897.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
8827.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8822.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
8787.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
8765.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8753.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
8731.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
8700.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
8633.1
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
8575.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
8565.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8526.8
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
8494.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
8450.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
8446.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
8430.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
8415.1
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
8322.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
8273.7
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
8193.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
8166.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
8148.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8141.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8138.7
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
8131.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
8123.6
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
8119.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
8117.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
8116.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8086.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
8045.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
8042.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
7993.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
7959.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
7917.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
7916.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
7908.6
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
7892.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
7884.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
7852.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
7825.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
7812.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
7796.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
7757.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7749.4
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
7730.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
7665.9
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
7662.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7624.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
7506.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
7492.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
7462.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7431.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7408.5
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
7366.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
7361.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
7360.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
7327.8
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7286.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
7272.8
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7244.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
7239.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
7232.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
7226.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
7219.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
7208.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
7202.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
7178.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
7165.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7144.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
7129.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7114.1
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
7081.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
7060.6
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
7043.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7026.6
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6979.3
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
6970.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
6960.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6944.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
6936.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
6930.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
6884.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6811.5
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
6806.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
6789.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6774.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6761.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6723.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6708.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6655.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
6632.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6617.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6605.1
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6565.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6562.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
6530.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
6490.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
6473.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
6363.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
6356.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6349.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
6273.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6244.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6240.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
6202.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6166.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
6166.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6153.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6146.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6102.1
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
6087.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
6040.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
6023.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6014.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5961.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5955.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5953.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5899.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5880.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
5871.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5824.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5789.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5774.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5762.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5735.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
5715.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5715.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5710.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5702.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5690.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5642.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
5633.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5632.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
5625.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5612.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
5596.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5582.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5579.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5546.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
5493.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
5493.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
5443.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
5417.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5276.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5026.4
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
5024.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4976.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4944.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4927.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4872.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4736.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4722.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4718.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4697.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4682.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
4675.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4574.2
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4570.4
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4537.6
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4467.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
4449.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4365.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4227.7
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4200.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4152.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
4112.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
4027.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3908.3
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3864.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3661.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3655.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3535.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3486.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3464.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3306.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3238.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2669.8
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2455.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2025.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1713.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1487.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1358.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1056.6
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
134.1
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-ND3 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
9689.3
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
34779.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
24897.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
24133.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
23933.6
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
22664.3
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
22657.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
21095.5
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
19665.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
19486.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
16628.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
16282.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
16207.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
14906.9
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
14843.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
13639.0
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
13376.0
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
13110.2
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
12672.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
12187.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
12055.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
11988.0
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
11808.8
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11783.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
11631.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
11577.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
11488.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
11432.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11192.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
11066.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
10986.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
10785.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
10689.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
10636.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
10414.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
10199.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
10142.7
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
10127.2
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
9738.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9657.5
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
9576.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
9435.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
9401.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
9362.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
9249.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
9189.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
9136.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
8861.3
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
8770.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
8711.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
8709.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
8591.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8420.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
8361.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8279.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
8261.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
8217.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
8123.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
8092.4
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7915.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
7799.2
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
7511.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
7419.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
7397.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
7260.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
7181.3
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
7049.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7014.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
6814.8
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
6736.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6612.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6373.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6251.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6251.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
6220.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
6071.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
6010.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
5816.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5658.5
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5646.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5528.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5495.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
5471.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5275.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
5253.5
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
5182.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4970.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4964.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4811.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4769.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4643.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4555.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4133.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
4111.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3660.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3591.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
3497.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2824.7
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
997.8
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-ND3 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
17331.5
Number of samples
282
Samples
Sample
Description
TPM
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
66279.1
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
56178.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
55713.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
51782.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
48357.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
48070.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
47569.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
45592.8
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
43557.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
43027.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
42123.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
40806.8
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
39467.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
38594.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
36785.5
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
36150.2
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
35599.1
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
35367.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
35116.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
34811.1
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
34454.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
34347.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
33718.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
33706.7
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
33495.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
33357.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
33319.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
33039.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
32640.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
32269.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
32017.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
31689.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
30068.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
29825.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
29348.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
29182.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
29087.6
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
28917.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
28769.9
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
28396.7
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
27986.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
27936.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
27818.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
27674.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
27506.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
27117.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
27033.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
27004.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
26594.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
26529.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
26116.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
26027.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
26018.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
25989.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
25944.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
25343.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
25265.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
25185.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
24998.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
24775.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
24505.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
24468.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
24244.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
24162.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
24160.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
24016.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
24007.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
23952.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
23781.9
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
23449.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
23395.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
23293.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
22960.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
22783.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
22718.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
22179.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
22132.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
22130.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
22022.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
22007.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
21936.9
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
21824.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
21722.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
21634.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
21621.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
21620.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
21324.4
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
21302.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
21276.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
21174.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
21000.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
20371.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
20141.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
20117.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
19947.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
19888.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
19850.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
19812.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
19554.8
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
19523.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
19314.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
19071.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
18930.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
18864.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
18732.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
18639.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
18612.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
18457.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
18328.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
18280.8
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
18222.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
18162.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
18138.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
17977.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
17962.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
17760.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
17756.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
17414.3
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
17177.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
17071.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
17038.1
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
16857.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
16584.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
16576.3
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
16481.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
16188.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
16145.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
16077.1
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
16067.8
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
15902.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
15817.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
15810.4
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
15394.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
15363.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
15331.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
15313.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
15285.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
15159.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
15123.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
15097.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
15040.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
14981.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
14935.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
14817.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
14720.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
14581.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
14543.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
14498.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
14452.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
14452.2
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
14412.3
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
14202.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
14139.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
14011.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
14000.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
13996.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
13950.9
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
13881.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
13740.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
13577.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
13363.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
13300.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
13022.0
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
12934.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
12749.2
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
12681.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
12588.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
12567.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
12480.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
12433.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
12409.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
12400.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
12370.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
12048.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
11743.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
11690.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
11664.4
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
11566.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
11380.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
11324.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
11180.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
10988.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
10931.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
10925.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
10907.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
10889.3
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
10870.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
10757.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
10694.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
10597.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
10578.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
10552.5
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
10533.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
10532.3
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
10506.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
10379.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
10371.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
10343.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
10085.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
10016.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
9992.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
9973.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
9933.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
9908.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
9843.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
9776.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
9773.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
9638.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
9368.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
9263.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
9247.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
9243.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
9226.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
9102.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
8999.9
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
8818.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
8776.6
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
8740.7
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
8723.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
8707.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
8521.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
8500.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
8429.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
8357.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
8173.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
8132.1
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
8114.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
7976.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
7932.8
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
7719.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
7693.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
7618.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
7513.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
7407.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7376.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7255.1
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7244.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
7087.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7024.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
7020.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
6843.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
6840.0
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
6600.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
6577.3
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
6501.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
6366.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6169.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
6129.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
6109.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
6045.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
6029.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
5828.8
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5765.2
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
5636.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5623.4
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5505.6
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
5280.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
5272.2
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5143.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
4989.4
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4919.5
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4822.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4815.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4794.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
4574.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4424.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
4383.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4007.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3660.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3459.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3382.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3288.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3236.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2838.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2705.8
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2603.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2241.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2089.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2072.7
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2038.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1892.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1561.0
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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
