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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-ND2 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
20642.5
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
104170.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
47850.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
44439.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
43212.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
42814.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
41822.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
38339.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
35241.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
34251.1
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
34226.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
33572.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
29571.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
27056.5
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
25923.0
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
25909.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
25847.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
24473.3
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
24213.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
23807.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
23598.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
23575.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
23044.1
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
22696.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
22422.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
22303.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
21935.3
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
21873.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
21350.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
21035.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
18521.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
18340.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
17773.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
17716.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
17630.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
16198.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
15278.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
13262.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
13066.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
12958.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
12866.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
12369.6
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
12336.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
12259.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
12208.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
11379.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
10939.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
10188.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
9996.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
9984.5
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
9893.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
9583.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
9509.8
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
9228.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
9201.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
9047.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
8944.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
8881.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
7308.0
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
7110.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
6778.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
6696.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
6509.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
6351.3
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-ND2 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
11197.0
Number of samples
521
Samples
Sample
Description
TPM
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
38297.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
34676.4
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
34004.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
33339.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
32642.6
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
32123.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
32010.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
31741.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
30915.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
29956.6
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
29702.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
29019.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
29015.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
28292.9
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
27720.1
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
27571.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
26943.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
26774.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
26609.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
25831.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
25017.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
24323.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
24062.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
24053.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
23944.7
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
23791.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
23224.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
22860.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
22653.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
22547.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
22440.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
22211.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
22198.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
22179.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
22052.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
21811.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
21810.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
21806.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
21772.3
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
21695.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
21687.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
21203.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
21185.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
21128.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
20959.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
20959.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
20696.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
20615.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
20466.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
20448.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
20390.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
20384.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
20246.3
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
20202.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
20184.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
20049.0
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
20039.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
19816.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
19693.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
19618.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
19525.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
19423.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
19409.5
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
19363.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
19336.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
19213.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
19140.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
18881.8
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
18752.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
18433.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
18281.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
18256.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
18217.2
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
18065.3
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
18011.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
17981.5
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
17954.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
17925.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
17849.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
17758.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
17691.2
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
17674.2
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
17641.5
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
17543.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
17497.1
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
17465.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
17174.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
17144.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
17119.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
17036.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
16953.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
16910.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
16893.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
16890.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
16888.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
16837.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
16722.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
16648.8
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
16600.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
16455.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
16350.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
16338.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
16282.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
16199.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
16120.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
16065.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
16042.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
15961.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
15931.3
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
15907.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
15770.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
15751.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
15671.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
15530.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
15527.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
15519.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
15402.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
15372.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
15274.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
15236.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
15194.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
15144.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
15123.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
15114.2
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
14982.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
14856.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
14835.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
14702.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
14678.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
14674.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
14625.4
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
14507.8
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
14489.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
14473.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
14360.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
14321.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
14312.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
14277.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
14262.6
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
14048.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
13972.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
13956.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
13950.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
13877.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
13852.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
13829.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
13806.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
13670.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
13594.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
13564.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
13470.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
13463.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
13311.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
13288.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
13276.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
13251.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
13247.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
13233.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
13110.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
13069.1
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
13017.9
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
12993.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
12977.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
12875.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
12867.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
12859.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
12836.9
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
12749.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
12731.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
12728.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
12700.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
12649.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
12577.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
12445.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
12404.2
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
12388.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
12315.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
12267.7
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
12213.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
12201.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
12128.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
12072.0
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
12064.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
12001.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
11840.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
11803.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
11780.0
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
11770.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
11674.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
11658.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
11636.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
11627.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
11576.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
11561.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
11542.9
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
11502.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
11500.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
11487.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
11480.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
11451.1
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
11445.0
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
11432.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
11416.9
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
11309.1
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
11297.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
11271.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
11263.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
11260.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
11181.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
11147.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
11137.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
11123.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
11096.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
11072.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
11060.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
11035.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
10953.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
10943.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
10909.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
10860.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
10858.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
10824.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
10815.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
10783.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
10493.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
10487.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
10480.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
10430.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
10411.1
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
10365.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
10335.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
10287.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
10278.0
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
10236.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
10206.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
10076.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
10049.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
10028.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
9948.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
9946.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
9915.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
9911.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
9900.5
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
9894.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
9891.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
9889.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
9868.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
9831.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
9789.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
9772.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
9765.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
9764.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
9755.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
9751.0
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
9695.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
9683.3
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
9670.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
9666.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
9652.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
9636.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
9574.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
9572.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
9533.0
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
9485.8
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
9468.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
9444.5
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
9443.4
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
9433.3
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
9365.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
9340.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
9311.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
9305.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
9270.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
9244.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
9210.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
9116.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
9101.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
9090.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
9060.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
9051.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
9013.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
9013.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
8989.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
8910.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
8897.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
8808.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
8796.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
8787.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8738.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8735.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8732.6
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
8721.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
8670.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
8643.3
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8642.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
8638.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
8600.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
8589.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
8582.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
8562.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
8519.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
8442.5
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
8432.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8431.9
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
8427.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8422.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
8394.0
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
8378.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
8330.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
8307.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
8292.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
8286.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8276.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
8256.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
8235.6
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
8214.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
8207.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
8205.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
8184.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
8120.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
8042.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
8035.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
8028.2
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
8021.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
8016.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
7979.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
7974.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
7955.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
7954.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
7912.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
7855.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
7842.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
7832.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7821.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
7812.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
7809.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7780.7
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
7768.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
7747.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7710.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
7655.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
7652.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
7652.7
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
7570.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
7570.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7566.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
7565.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
7559.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
7558.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7557.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
7555.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
7516.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7479.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
7471.0
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
7426.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
7383.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
7369.8
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
7307.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
7285.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
7282.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
7254.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
7245.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
7170.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
7132.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7124.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7110.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
7092.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7063.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
7062.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
7041.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
7029.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
7011.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6928.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
6860.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
6825.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6767.2
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
6746.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6728.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
6717.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
6714.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
6703.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
6613.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
6564.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
6539.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
6520.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
6475.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6469.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
6466.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
6450.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
6446.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6445.2
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
6440.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6436.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6367.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6313.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
6302.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
6243.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
6239.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6229.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
6211.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6198.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
6193.7
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6179.5
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
6168.4
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6134.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
6082.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6063.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6055.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6029.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
6007.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
6000.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5985.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
5966.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5930.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5915.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
5892.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5891.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5883.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
5830.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
5785.3
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5737.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
5737.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
5735.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
5728.6
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
5724.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
5713.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
5704.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5702.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5674.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
5674.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5642.6
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
5594.7
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5550.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5542.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5521.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5501.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5464.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5464.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5437.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5434.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
5429.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5426.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
5410.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5398.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5366.4
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5321.1
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5306.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
5268.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5251.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5213.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5213.0
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5208.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5141.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5125.7
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5123.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5053.5
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5048.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5034.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5029.2
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
4999.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4963.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4949.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4902.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4864.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4820.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4799.9
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4797.6
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4692.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4683.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4664.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4633.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4529.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4479.3
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4460.4
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4341.5
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
4283.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4269.1
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4217.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4202.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4174.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
4174.4
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4111.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4110.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4106.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3964.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3940.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3934.9
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3914.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3887.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3855.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3764.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3763.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3732.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3688.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3536.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
3470.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3426.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3415.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3414.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3406.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3346.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3343.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3303.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3289.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3228.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3202.3
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3034.3
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2781.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2729.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2704.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2677.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2538.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2292.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1365.4
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1331.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1303.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1290.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1035.0
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
272.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
25.9
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-ND2 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
8510.0
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
31965.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
28380.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
25696.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
21976.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
18567.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
18152.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
18030.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
16633.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
16235.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
15230.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
14265.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
13269.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
13041.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
12950.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
12605.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
11898.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
11740.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
11594.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
11482.6
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
11437.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
11178.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
11175.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
11130.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
10818.0
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
10614.3
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
10435.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
10309.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
10049.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
9885.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
9798.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
9626.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
9536.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
9308.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
9261.4
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9063.7
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
9057.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
8670.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
8588.9
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
8569.6
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
8557.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
8442.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
8102.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
8102.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
7939.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
7897.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
7773.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
7771.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
7546.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
7435.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7139.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
7119.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
7109.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
6963.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
6799.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
6710.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
6684.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
6454.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6407.9
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6256.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
6252.8
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
6159.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
6016.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
6010.8
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5852.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
5765.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5668.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5604.6
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5561.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5452.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5379.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5306.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5245.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5240.7
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
5222.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5114.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
4982.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4928.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4897.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4875.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4867.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4793.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4748.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4703.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4619.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4574.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
4500.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4336.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4072.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4020.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3869.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3803.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3630.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3375.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
3272.1
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2887.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2386.1
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2368.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
717.2
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-ND2 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
8637.3
Number of samples
282
Samples
Sample
Description
TPM
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
43608.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
33567.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
31680.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
31441.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
28601.7
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
28186.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
27644.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
24791.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
21698.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
21641.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
21304.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
20820.6
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
20650.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
20457.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
20314.1
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
20268.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
20135.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
19098.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
19072.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
18988.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
18180.1
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
18025.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
17790.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
17334.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
17065.3
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
16570.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
16219.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
16199.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
16087.7
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
15875.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
15639.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
15387.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
15138.7
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
14977.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
14917.3
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
14745.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
14616.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
14296.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
14189.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
14143.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
14073.6
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
14035.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
13991.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
13916.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
13915.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
13807.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
13775.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
13682.4
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
13595.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
13373.4
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
13073.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
12491.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
12132.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
12045.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
12027.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
11983.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
11880.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
11802.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
11767.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
11690.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
11623.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
11361.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
11283.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
11279.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
11279.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
11258.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
11110.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
11103.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
11084.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
11068.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
11047.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
11015.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
11002.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
10897.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
10812.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
10787.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
10786.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
10764.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
10753.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
10608.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
10552.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
10457.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
10439.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
10392.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
10380.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
10344.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
10094.8
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
10069.5
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
10067.7
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
10018.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
9988.5
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
9913.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
9867.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
9835.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
9623.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
9571.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
9499.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
9423.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
9376.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
9295.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
9222.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
9079.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
9033.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
9022.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
8900.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
8858.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
8764.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
8745.1
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
8673.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
8615.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
8597.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
8571.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
8552.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
8550.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
8483.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
8403.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
8390.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
8337.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
8301.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
8275.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
8183.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
8175.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
8097.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
8095.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
8074.4
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
8034.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
7752.4
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
7735.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
7733.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
7697.9
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
7665.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
7651.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
7574.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
7561.4
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
7511.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
7463.1
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
7431.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
7424.5
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
7360.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
7275.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
7269.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
7262.1
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
7200.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
7186.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
7032.0
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
6944.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6943.9
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
6841.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
6809.5
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
6755.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
6582.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
6582.2
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
6563.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6534.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
6530.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
6511.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
6476.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
6411.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
6331.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
6288.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
6249.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
6231.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
6226.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
6207.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
6162.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
6147.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6146.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
6139.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
6103.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5972.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5799.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
5797.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5722.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
5721.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
5721.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
5687.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5630.3
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
5617.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
5611.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
5587.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
5559.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5523.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
5509.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
5494.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5470.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5400.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5385.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
5357.8
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
5330.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
5200.6
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5168.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
4994.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4986.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
4972.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4958.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
4946.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4945.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4916.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
4905.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
4884.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4820.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4763.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4715.2
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
4696.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
4684.8
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
4668.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
4656.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4554.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
4551.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4486.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4463.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4449.9
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4415.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
4332.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4260.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
4246.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
4235.4
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4234.8
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
4148.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
4109.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4093.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4059.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
4027.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3996.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3900.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3888.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3868.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3847.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3844.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3837.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
3837.7
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3785.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3740.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3683.9
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3657.9
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
3651.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
3605.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
3579.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3319.4
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
3315.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
3310.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
3306.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
3224.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3092.8
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3058.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
3023.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2996.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2977.9
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
2933.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2922.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2907.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2860.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
2836.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2787.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2678.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2646.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2595.5
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2474.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2393.3
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2329.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2307.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2304.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2292.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2252.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2230.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2135.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2046.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1991.9
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1885.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1825.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1772.9
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1760.1
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1662.7
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1643.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1458.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1345.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1223.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1197.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1153.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1025.5
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1010.5
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
921.7
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
