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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
34742.0
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
104535.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
82083.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
60839.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
58430.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
55631.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
55604.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
52020.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
50481.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
47132.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
46750.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
46698.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
46666.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
44357.4
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
43708.6
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
43395.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
42940.8
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
42598.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
41492.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
40818.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
38830.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
38691.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
36082.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
35895.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
35777.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
35666.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
35657.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
35278.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
35051.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
34783.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
34540.7
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
34458.5
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
32353.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
32091.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
31669.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
31396.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
30640.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
30585.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
30097.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
29946.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
29157.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
29015.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
28068.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
27064.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
26682.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
26638.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
26124.9
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
25917.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
25832.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
25168.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
23855.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
23554.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
22488.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
22419.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
21690.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
21576.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
21022.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
20904.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
19747.1
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
19278.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
15625.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
14828.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
11284.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
9485.1
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
15254.2
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
51429.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
48934.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
47037.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
44390.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
43694.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
43687.8
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
42504.2
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
41386.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
40632.3
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
40327.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
39928.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
39703.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
39505.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
39431.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
38737.3
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
38717.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
38681.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
37754.1
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
37038.6
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
36734.9
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
36202.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
36124.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
35193.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
34592.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
33854.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
33630.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
33409.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
33245.7
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
33173.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
33059.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
32997.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
32958.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
32034.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
31863.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
31771.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
31708.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
31604.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
31507.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
31088.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
30953.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
30619.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
30559.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
30378.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
30255.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
29957.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
29360.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
29199.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
29079.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
28914.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
28531.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
28508.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
28395.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
28132.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
28040.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
28020.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
27634.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
27153.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
27075.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
27014.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
27013.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
26954.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
26917.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
26686.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
26649.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
26349.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
26290.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
26242.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
25872.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
25765.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
25747.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
25636.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
25583.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
25576.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
25457.7
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
25414.3
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
25357.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
24686.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
24210.1
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
24181.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
24104.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
24064.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
23910.1
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
23552.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
23373.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
23340.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
23206.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
23205.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
23172.4
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
23153.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
22925.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
22834.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
22578.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
22547.1
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
22484.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
22368.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
22287.6
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
22182.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
21817.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
21700.8
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
21659.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
21549.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
21215.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
21084.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
21016.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
20969.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
20894.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
20833.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
20786.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
20762.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
20593.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
20582.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
20529.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
20529.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
20512.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
20449.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
20436.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
20417.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
20379.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
20366.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
20191.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
20048.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
19991.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
19887.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
19829.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
19711.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
19631.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
19594.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
19523.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
19496.6
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
19465.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
19444.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
19189.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
19188.2
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
19100.0
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
19063.1
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
19041.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
18946.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
18933.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
18916.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
18820.5
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
18742.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
18659.7
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
18657.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
18622.0
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
18602.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
18593.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
18492.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
18381.4
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
18354.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
18325.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
18271.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
18260.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
18255.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
18111.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
18077.1
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
17968.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
17964.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
17919.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
17816.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
17789.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
17697.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
17566.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
17438.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
17353.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
17315.8
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
17295.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
17283.0
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
17277.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
17276.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
17257.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
17237.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
17176.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
17120.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
17075.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
17065.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
17027.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
17022.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
16992.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
16950.9
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
16838.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
16809.8
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
16765.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
16721.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
16626.6
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
16568.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
16523.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
16481.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
16481.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
16459.2
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
16433.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
16351.3
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
16286.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
16246.6
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
16056.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
15951.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
15832.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
15790.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
15704.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
15573.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
15427.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
15313.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
15298.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
15180.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
15149.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
15097.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
15044.1
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
15025.5
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
15000.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
14911.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
14898.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
14858.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
14773.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
14699.8
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
14694.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
14687.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
14537.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
14526.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
14514.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
14481.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
14462.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
14416.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
14409.0
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
14389.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
14361.4
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
14304.8
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
14294.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
14292.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
14263.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
14194.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
14130.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
14118.1
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
14069.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
13974.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
13931.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
13861.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
13760.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
13608.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
13593.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
13568.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
13382.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
13360.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
13356.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
13323.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
13322.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
13278.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
13260.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
13226.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
13213.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
13202.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
13196.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
13163.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
13121.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
13086.9
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
13079.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
13077.1
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
12958.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12947.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
12927.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
12926.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
12860.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
12836.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
12821.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
12774.9
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
12733.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
12723.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
12593.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
12559.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
12550.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
12500.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
12499.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
12497.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
12347.1
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
12324.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
12307.1
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
12233.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
12233.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
12191.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
12181.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
12118.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
12096.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
12069.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
12046.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
12030.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
12006.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
12000.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
11936.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
11921.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
11887.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
11793.5
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
11758.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
11745.9
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
11708.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
11678.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
11670.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
11670.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
11649.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
11621.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
11603.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
11590.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
11590.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
11539.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
11525.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
11507.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
11452.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
11417.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
11372.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
11363.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
11338.5
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
11337.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
11318.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
11297.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
11256.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
11253.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
11253.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
11207.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
11204.5
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
11175.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
11168.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
11123.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
11111.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
11084.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
11082.5
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
11079.7
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
10996.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
10920.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
10904.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
10901.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
10856.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
10844.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
10814.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10803.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
10796.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
10795.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10736.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
10640.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
10610.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
10551.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
10542.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
10524.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
10516.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
10510.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10494.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
10449.7
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
10438.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
10438.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
10386.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
10276.7
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
10240.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
10214.5
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
10194.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10173.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
10162.3
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
10117.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
10102.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
10068.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
10015.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
9988.9
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
9893.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
9870.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
9750.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
9690.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
9584.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
9553.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
9483.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
9475.3
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
9389.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
9388.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9380.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
9347.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
9310.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
9253.5
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
9249.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
9208.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
9206.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
9181.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
9161.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
9115.9
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
9089.9
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
9053.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
9038.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
9025.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
8995.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
8981.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
8972.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8960.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
8950.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
8923.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
8918.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
8821.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
8722.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8715.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
8697.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8682.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8651.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
8649.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
8648.4
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
8636.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8600.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
8574.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
8565.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
8539.4
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
8535.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
8494.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
8476.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
8462.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
8440.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
8385.0
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
8335.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
8259.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
8256.9
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
8196.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
8106.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
8096.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
8095.9
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
8080.6
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
8045.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
8028.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8028.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
8002.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
7994.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7973.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7963.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
7910.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
7867.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
7846.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
7766.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
7754.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
7736.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7730.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7715.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
7713.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
7696.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7685.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
7559.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7555.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
7546.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
7487.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
7477.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
7475.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
7475.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
7403.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7400.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7295.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7267.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
7259.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
7247.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
7039.1
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7011.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6986.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6982.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
6932.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
6904.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6888.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6683.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6583.0
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6580.5
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
6502.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6491.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6456.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6410.2
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
6406.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
6373.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6352.3
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
6254.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6220.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6192.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
6175.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
6168.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
6141.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
6125.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6096.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5959.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
5936.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5861.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
5852.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5814.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5787.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5785.2
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5740.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5719.2
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5708.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5658.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5646.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
5501.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5445.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5387.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
5383.0
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5375.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5287.7
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5281.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5255.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5197.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5184.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5099.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5024.6
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5021.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5010.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4969.4
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
4722.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4714.6
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4711.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4586.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4389.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4353.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4308.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4298.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3850.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3833.9
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3626.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3527.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3290.9
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2589.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2081.4
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2038.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1852.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1599.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1427.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1380.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
447.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
70.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
10535.7
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
44137.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
32269.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
26705.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
21478.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
21464.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
20916.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
19789.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
19627.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
19537.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
18914.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
17806.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
16778.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
16577.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
16323.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
16200.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
14855.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
14707.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
14449.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
14284.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
13909.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
13901.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
13544.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
13407.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
13397.7
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
12992.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
12475.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
11926.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11755.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
11655.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
10939.6
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
10925.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
10848.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
10841.4
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
10739.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
10605.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
10566.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
10364.8
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
9813.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
9796.5
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
9715.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
9691.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
9662.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
9566.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
9481.2
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
9432.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
9297.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
9167.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
9122.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
9118.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
9031.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
9000.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
8964.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
8932.5
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
8929.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8921.4
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
8898.4
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
8893.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
8871.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
8672.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8663.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
8560.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
8549.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
8421.6
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
8231.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
8217.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
8179.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
8084.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
7933.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
7900.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7787.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
7726.8
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
7490.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
7081.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
7074.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
7059.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
7031.6
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6640.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6581.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6419.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6344.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
6326.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
6311.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
6145.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6049.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5581.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5554.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5505.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5487.4
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5379.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5327.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5194.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4889.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
4854.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4450.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4294.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
4126.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1929.0
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1013.1
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
285.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND4 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
19704.4
Number of samples
282
Samples
Sample
Description
TPM
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
83612.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
78654.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
70215.0
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
69667.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
58836.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
57584.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
53987.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
53986.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
49759.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
49517.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
46416.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
46022.2
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
45791.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
45401.9
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
45159.4
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
44695.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
44389.1
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
43898.7
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
43056.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
40943.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
40864.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
40829.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
40769.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
39670.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
39409.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
38319.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
37813.2
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
37239.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
37223.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
37138.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
36688.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
35757.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
35686.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
34622.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
34299.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
34194.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
34000.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
33509.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
33429.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
32957.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
32726.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
32690.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
32336.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
32016.6
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
32000.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
31531.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
31483.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
31312.2
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
30818.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
30706.6
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
30650.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
29292.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
29199.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
29192.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
29151.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
29079.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
29033.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
28790.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
28664.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
28634.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
28589.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
28106.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
28085.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
27989.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
27692.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
27391.7
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
27086.1
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
26387.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
26317.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
26294.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
25913.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
25907.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
25785.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
25688.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
25585.9
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
25394.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
25297.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
25023.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
24941.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
24807.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
24793.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
24782.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
24525.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
24431.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
24407.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
24399.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
24355.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
24348.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
24156.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
23813.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
23776.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
23763.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
23727.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
23548.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
23154.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
22882.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
22857.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
22775.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
22758.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
22559.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
22419.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
22294.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
22256.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
22087.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
22068.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
21925.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
21385.1
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
21035.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
20702.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
20640.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
20214.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
20174.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
20109.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
20001.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
19731.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
19609.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
19294.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
19225.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
19120.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
19042.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
18925.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
18574.0
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
18552.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
18501.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
18496.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
18456.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
18402.6
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
17833.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
17806.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
17595.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
17450.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
17322.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
17300.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
17062.1
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
16937.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
16729.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
16372.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
16159.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
15934.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
15741.8
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
15663.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
15591.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
15537.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
15402.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
15380.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
15375.6
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
15293.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
15246.6
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
15167.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
15013.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
14923.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
14922.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
14893.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
14792.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
14755.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
14723.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
14573.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
14572.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
14519.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
14069.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
13862.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
13845.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
13778.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
13699.8
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
13685.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
13523.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
13440.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
13093.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
13062.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
13033.8
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
12986.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
12918.0
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
12823.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
12739.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
12691.1
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
12679.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
12548.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
12366.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
12243.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
12158.1
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
12138.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
11842.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
11815.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
11789.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
11786.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
11732.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
11684.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
11252.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
11238.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
11191.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
11148.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
10910.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
10880.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
10829.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
10789.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
10772.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
10736.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
10644.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
10643.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
10600.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
10586.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
10493.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
10458.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
10402.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
10252.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
10205.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
10119.4
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
10071.4
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
10035.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
9909.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
9877.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
9848.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
9813.0
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
9783.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
9532.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
9531.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
9508.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
9484.1
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
9381.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
9299.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
9205.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
9172.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
8932.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8810.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
8689.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
8605.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
8406.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
8368.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
8354.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
8257.2
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
8198.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
8187.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
8167.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
8062.2
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
8042.0
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
7998.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
7872.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
7866.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
7835.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
7569.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
7510.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
7485.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7379.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
7312.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
7277.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
7254.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
7188.9
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
7123.4
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
7064.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
7002.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
6882.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6779.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
6425.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
6221.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
6112.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
6106.5
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5987.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
5718.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
5652.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5527.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
5480.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
5440.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5186.2
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5093.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4986.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4860.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4796.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
4785.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
4644.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4492.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4167.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
4151.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4047.4
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4047.2
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4018.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3539.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3501.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3495.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2288.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2221.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1973.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1279.4
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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
