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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-CO3 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
45032.6
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
90499.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
79464.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
77204.8
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
77033.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
76257.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
74498.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
74337.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
74199.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
72528.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
71556.0
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
69807.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
69241.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
67441.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
62111.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
61562.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
61262.6
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
60989.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
57957.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
56361.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
55631.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
54364.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
52391.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
52060.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
52043.8
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
50890.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
50432.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
48772.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
48359.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
46184.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
45880.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
44539.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
44294.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
43202.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
42793.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
42451.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
41984.9
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
40298.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
39668.8
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
39061.7
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
38434.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
36873.4
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
35862.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
34758.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
34556.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
34052.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
33376.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
27279.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
26421.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
26307.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
26187.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
25407.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
24590.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
24336.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
23963.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
21917.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
21179.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
21157.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
20917.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
18425.1
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
16386.8
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
15858.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
11788.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
11744.6
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 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 pTPM
24693.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
95983.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
82704.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
81762.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
80393.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
79367.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
73978.8
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
72568.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
71859.0
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
69871.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
64659.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
64071.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
62938.2
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
62877.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
62612.8
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
61069.0
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
59327.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
59179.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
58781.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
58529.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
56850.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
56664.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
56314.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
55773.0
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
55346.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
55314.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
54349.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
54317.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
54213.8
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
53884.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
53792.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
52759.9
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
52243.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
51247.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
50625.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
50089.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
49814.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
49794.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
49752.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
49621.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
49541.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
48795.6
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
48624.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
48180.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
47675.3
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
47512.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
46978.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
46391.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
46122.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
45268.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
44863.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
44506.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
44502.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
44010.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
43586.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
43533.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
43081.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
43052.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
42821.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
42800.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
42778.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
42579.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
42545.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
42358.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
41622.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
41590.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
41416.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
41348.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
41160.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
40998.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
40851.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
40813.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
40381.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
40250.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
39973.3
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
39875.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
39867.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
39835.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
39577.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
39563.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
38701.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
38433.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
38394.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
37852.1
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
37727.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
37174.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
36997.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
36825.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
36584.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
36319.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
36289.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
36223.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
36213.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
36079.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
35985.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
35901.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
35729.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
35704.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
35465.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
35418.1
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
35010.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
34967.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
34745.2
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
34692.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
34635.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
34606.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
34564.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
34495.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
34448.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
34439.5
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
34146.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
34052.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
33936.4
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
33912.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
33631.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
33387.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
33310.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
33119.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
33109.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
33105.6
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
32966.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
32857.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
32295.5
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
32034.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
31655.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
31538.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
31444.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
31335.7
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
31276.7
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
31183.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
31093.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
31067.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
30860.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
30808.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
30600.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
30508.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
30461.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
30186.3
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
30048.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
29970.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
29927.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
29661.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
29594.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
29514.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
29410.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
29143.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
29036.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
29029.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
28749.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
28614.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
28569.2
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
28454.9
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
28329.0
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
28292.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
28061.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
27945.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
27918.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
27793.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
27688.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
27671.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
27621.5
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
27457.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
27437.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
27397.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
27327.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
27311.0
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
27173.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
26839.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
26595.1
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
26356.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
26314.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
26191.9
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
26182.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
26144.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
25864.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
25864.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
25852.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
25850.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
25682.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
25532.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
25531.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
25529.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
25419.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
25352.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
25215.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
25159.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
25028.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
25006.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
24945.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
24886.6
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
24810.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
24783.7
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
24588.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
24488.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
24478.6
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
24436.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
24241.1
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
24221.2
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
24161.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
24157.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
24131.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
24007.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
23947.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
23801.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
23742.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
23697.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
23697.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
23670.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
23630.5
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
23560.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
23501.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
23480.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
23453.1
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
23300.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
23174.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
23173.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
23060.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
23045.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
22925.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
22793.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
22738.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
22689.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
22675.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
22455.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
22436.0
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
22340.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
22335.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
22279.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
22260.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
22095.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
22074.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
21970.5
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
21934.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
21932.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
21891.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
21797.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
21720.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
21677.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
21642.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
21605.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
21557.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
21555.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
21507.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
21480.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
21448.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
21442.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
21430.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
21336.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
21315.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
21312.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
21268.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
21238.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
21079.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
21002.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
20991.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
20947.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
20937.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
20911.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
20893.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
20871.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
20781.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
20685.3
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
20680.6
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
20674.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
20665.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
20634.4
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
20618.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
20566.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
20425.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
20399.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
20398.8
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
20220.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
20217.9
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
20151.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
20147.0
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
20145.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
20137.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
20096.1
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
19905.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
19881.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
19836.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
19820.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
19731.7
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
19730.1
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
19710.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
19706.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
19669.1
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
19610.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
19543.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
19488.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
19431.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
19393.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
19335.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
19330.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
19163.1
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
19081.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
18959.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
18899.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
18890.9
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
18827.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
18824.5
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
18815.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
18793.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
18788.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
18778.8
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
18768.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
18737.0
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
18709.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
18664.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
18656.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
18632.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
18579.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
18485.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
18475.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
18459.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
18400.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
18378.4
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
18374.8
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
18255.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
18214.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
18163.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
18104.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
18073.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
18053.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
17919.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
17911.6
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
17908.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
17889.6
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
17821.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
17724.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
17715.7
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
17548.0
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
17521.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
17498.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
17432.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
17369.1
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
17351.0
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
17266.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
17217.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
17145.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
17051.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
16975.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
16959.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
16891.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
16887.0
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
16878.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
16840.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
16765.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
16647.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
16624.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
16533.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
16522.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
16519.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
16504.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
16484.6
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
16484.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
16459.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
16454.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
16415.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
16404.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
16367.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
16277.5
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
16152.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
16123.3
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
16097.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
15969.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
15946.2
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
15840.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
15814.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
15795.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
15768.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
15725.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
15684.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
15662.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
15657.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
15654.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
15653.5
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
15605.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
15501.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
15459.3
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
15419.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
15411.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
15385.1
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
15342.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
15270.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
15267.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
15257.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
15236.1
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
15210.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
15154.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
15131.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
15118.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
15113.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
15084.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
15078.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
14998.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
14937.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
14922.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
14862.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
14746.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
14695.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
14678.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
14628.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
14608.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
14598.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
14538.5
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
14527.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
14490.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
14477.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
14416.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
14209.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
14179.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
14179.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
14079.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
13991.2
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
13989.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
13989.5
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
13969.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
13958.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
13910.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
13811.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
13756.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
13701.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
13658.5
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
13625.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
13536.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
13496.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
13472.7
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
13435.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
13399.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
13383.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
13323.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
13231.2
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
13204.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
13195.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
13015.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
12950.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
12784.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
12758.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
12725.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
12686.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
12682.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
12650.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
12646.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
12557.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
12527.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
12469.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
12387.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
12359.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
12162.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
12154.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
12125.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
12057.4
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
12048.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
12026.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
11775.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
11693.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
11659.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
11531.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
11451.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
11402.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
11278.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
11123.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
11119.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
11088.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
10900.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
10717.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
10386.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
10374.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
10360.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
10330.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
10276.3
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
10145.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
10054.8
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
10009.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
9895.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
9855.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
9680.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
9583.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
9538.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
9527.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
9493.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
9418.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
9231.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
9195.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
9182.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
9179.5
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
9130.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
8952.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8924.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
8879.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
8869.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
8814.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
8808.1
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
8790.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
8552.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
8518.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
8390.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
8290.6
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
7967.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
7913.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7597.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
7333.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
7273.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7162.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
7074.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
6874.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6866.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6718.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
6624.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6487.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6438.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
6171.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
5690.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3283.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3054.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2863.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2839.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2540.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1932.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
970.2
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-CO3 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
22922.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
77574.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
66109.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
61745.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
58743.3
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
58060.1
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
51455.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
45010.5
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
42635.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
42453.8
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
41398.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
40313.8
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
36922.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
35570.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
35119.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
32884.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
32778.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
31320.5
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
31309.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
30162.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
30045.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
29505.8
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
29166.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
28597.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
28580.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
27930.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
27499.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
27309.7
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
27254.9
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
26886.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
25874.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
25644.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
25527.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
24997.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
24995.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
24620.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
23968.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
23441.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
22924.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
22646.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
22251.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
22083.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
21190.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
21146.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
20783.3
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
20609.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
20509.0
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
19973.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
19928.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
19888.0
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
19872.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
19521.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
19421.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
18654.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
18631.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
18617.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
18483.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
18458.8
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
18335.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
17784.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
17748.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
17685.5
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
17226.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
17116.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
16769.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
16522.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
16032.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
16006.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
15891.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
15869.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
15862.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
15644.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
15360.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
15309.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
15057.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
14768.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
14762.6
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
14384.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
14272.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
13993.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
13958.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
13763.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
13408.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
12799.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
12788.5
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
12598.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
12212.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
12176.7
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
12084.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
11737.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
11025.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
10637.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
9622.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
9615.9
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
8470.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7370.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7333.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5711.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2091.8
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO3 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
29636.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
95227.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
89016.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
84550.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
81397.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
78287.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
77873.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
71128.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
70868.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
70340.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
69221.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
69214.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
68616.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
67782.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
67039.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
66619.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
66617.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
66398.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
64831.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
64187.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
63013.1
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
61997.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
60774.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
60446.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
58507.5
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
56070.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
55622.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
54610.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
54346.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
53970.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
53295.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
53051.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
53004.0
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
51987.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
51707.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
51406.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
50917.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
50913.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
50606.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
50491.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
50050.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
49133.0
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
48079.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
47258.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
47222.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
47143.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
46615.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
46476.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
44954.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
44796.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
44767.0
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
43905.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
43860.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
43682.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
43000.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
42999.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
42860.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
42712.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
42255.0
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
42165.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
41701.0
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
41690.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
41232.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
40923.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
40798.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
40587.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
40576.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
40428.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
40302.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
40135.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
40076.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
39897.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
39556.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
39483.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
39150.7
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
39133.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
38687.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
38142.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
37260.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
37197.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
36801.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
36766.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
36721.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
36566.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
36536.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
36196.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
36165.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
36156.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
36125.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
35854.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
35709.9
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
35296.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
34815.3
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
34700.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
34672.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
34625.6
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
34490.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
34450.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
34164.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
34134.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
34095.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
33995.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
33927.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
33639.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
33345.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
33097.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
32856.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
32519.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
32321.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
31683.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
31608.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
31028.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
30951.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
30698.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
30694.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
30573.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
30454.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
30396.5
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
30356.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
30275.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
29774.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
29607.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
29477.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
29469.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
29467.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
29407.3
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
29293.4
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
28941.7
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
28827.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
28591.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
28558.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
28558.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
28174.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
27974.8
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
27936.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
27930.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
27819.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
27465.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
27397.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
26849.0
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
26432.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
26376.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
26314.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
26139.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
25909.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
25893.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
25884.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
25827.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
25824.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
25649.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
25472.6
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
25037.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
24609.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
24280.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
23903.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
23543.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
23411.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
23196.3
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
23186.9
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
23162.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
23145.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
23132.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
22291.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
21659.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
21651.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
21444.6
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
21244.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
21072.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
20905.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
20762.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
20677.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
20430.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
20310.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
20230.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
20087.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
19849.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
19753.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
19701.9
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
19696.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
19692.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
19564.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
19527.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
19525.5
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
19276.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
19143.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
18932.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
18906.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
18608.3
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
18456.9
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
18450.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
18256.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
18162.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
18087.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
18023.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
17870.7
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
17777.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
17764.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
17623.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
17487.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
17478.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
17457.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
17388.0
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
17294.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
16970.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
16914.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
16836.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
16794.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
16781.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
16514.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
16342.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
16310.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
16255.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
16224.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
16014.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
16006.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
15963.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
15938.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
15651.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
15611.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
15463.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
15312.1
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
15206.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
15132.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
15131.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
15105.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
14737.4
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
14711.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
14307.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
14136.7
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
14133.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
13626.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
13322.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
13271.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
13113.6
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
12927.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
12742.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
12720.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
12455.5
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
12298.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
11936.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
11839.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
11790.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
11413.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
11382.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
11369.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
11267.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
11183.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
11049.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
10507.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
10347.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
10103.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
9997.4
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
9705.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
9364.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
9244.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
9220.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
9006.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
8967.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
8881.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
8637.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
8547.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
8484.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
8332.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
8275.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
8024.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7994.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
7531.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
7501.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7177.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
7075.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6967.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
6913.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6829.1
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
6496.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
6431.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
6402.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
6107.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
5578.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
5247.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
5225.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
4063.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3981.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
3392.9
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
