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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.
TMEM43 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
18.6
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
50.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
39.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
38.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
36.9
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
35.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
34.6
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
31.3
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
31.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
27.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
27.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
24.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
23.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
23.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
23.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
22.8
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
21.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
21.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
21.2
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
21.1
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
20.7
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
20.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
19.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
19.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
19.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
19.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
18.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
18.6
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
18.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
17.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
17.4
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
17.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
16.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
16.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
16.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
16.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
16.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
15.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
15.3
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
15.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
15.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
15.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
14.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
14.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
14.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
14.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
14.0
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
12.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
12.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
12.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
11.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
11.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
11.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
11.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
9.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
9.8
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
9.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
8.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
8.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
8.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
8.7
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
8.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
8.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
6.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 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.
TMEM43 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.4
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
116.2
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
108.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
101.2
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
100.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
98.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
98.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
94.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
93.3
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
92.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
90.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
90.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
89.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
89.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
88.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
85.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
85.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
84.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
84.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
84.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
83.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
83.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
82.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
81.8
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
81.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
80.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
78.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
77.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
76.9
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
75.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
75.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
75.4
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
74.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
74.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
74.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
74.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
74.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
72.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
72.7
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
72.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
72.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
71.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
71.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
71.3
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
71.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
69.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
69.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
69.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
69.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
68.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
68.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
68.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
68.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
68.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
68.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
68.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
67.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
67.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
67.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
67.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
67.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
66.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
66.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
65.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
65.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
65.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
65.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
64.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
64.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
64.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
63.5
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
63.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
63.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
63.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
63.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
62.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
62.8
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
62.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
62.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
62.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
62.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
61.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
61.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
61.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
61.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
61.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
61.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
61.1
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
60.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
60.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
60.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
59.6
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
59.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
59.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
59.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
59.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
58.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
58.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
58.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
58.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
58.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
58.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
58.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
58.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
58.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
58.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
57.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
57.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
57.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
57.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
57.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
57.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
57.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
57.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
56.8
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
56.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
56.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
56.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
56.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
56.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
56.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
56.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
56.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
56.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
55.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
55.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
55.7
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
55.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
55.6
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
55.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
55.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
55.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
55.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
55.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
55.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
54.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
54.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
54.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
54.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
54.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
54.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
54.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
54.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
54.0
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
53.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
53.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
53.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
53.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
53.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
53.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
53.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
53.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
53.1
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
53.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
53.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
52.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
52.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
52.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
52.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
52.7
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
52.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
52.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
52.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
52.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
51.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
51.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
51.8
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
51.7
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
51.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
51.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
51.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
51.4
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
51.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
51.2
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
51.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
51.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
51.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
51.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
50.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
50.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
50.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
50.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
50.7
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
50.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
50.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
50.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
50.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
50.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
50.2
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
50.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
50.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
50.0
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
49.9
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
49.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
49.5
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
49.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
49.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
49.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
49.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
49.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
49.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
49.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
48.9
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
48.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
48.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
48.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
48.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
48.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
48.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
48.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
48.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
47.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
47.9
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
47.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
47.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
47.8
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
47.8
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
47.6
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
47.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
47.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
47.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
47.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
47.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
47.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
47.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
47.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
47.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
46.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
46.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
46.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
46.8
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
46.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
46.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
46.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
46.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
46.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
46.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
46.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
46.0
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
45.9
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
45.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
45.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
45.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
45.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
45.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
45.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
45.1
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
45.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
45.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
44.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
44.8
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
44.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
44.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
44.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
44.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
44.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
44.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
44.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
44.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
44.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
44.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
44.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
43.8
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
43.6
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
43.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
43.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
43.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
43.2
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
43.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
43.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
43.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
43.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
42.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
42.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
42.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
42.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
42.5
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
42.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
42.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
42.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
41.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
41.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
41.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
41.7
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
41.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
41.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
41.6
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
41.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
41.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
41.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
41.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
41.4
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
41.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
41.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
41.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
41.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
40.9
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
40.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
40.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
40.7
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
40.7
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
40.7
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
40.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
40.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
40.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
40.5
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
40.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
40.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
40.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
40.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
40.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
40.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
40.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
40.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
40.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
40.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
39.9
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
39.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
39.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
39.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
39.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
39.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
39.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
39.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
39.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
39.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
39.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
39.3
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
39.1
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
39.0
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
38.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
38.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
38.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
38.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
38.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
38.4
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
38.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
38.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
38.3
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
38.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
38.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
38.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
38.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
38.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
38.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
38.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
37.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
37.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
37.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
37.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
37.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
37.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
37.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
37.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
37.2
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
37.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
37.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
36.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
36.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
36.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
36.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
36.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
36.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
36.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
36.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
36.5
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
36.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
36.2
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
36.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
36.2
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
36.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
36.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
36.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
36.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
36.1
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
35.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
35.5
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
35.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
35.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
35.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
35.0
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
34.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
34.3
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
34.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
34.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
34.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
34.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
34.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
34.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
33.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
33.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
33.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
33.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
33.3
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
33.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
33.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
33.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
33.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
33.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
32.6
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
32.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
32.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
32.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
32.1
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
31.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
31.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
31.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
31.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
31.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
31.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
31.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
31.0
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
30.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
30.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
30.7
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
30.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
30.5
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
30.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
30.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
30.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
30.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
30.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
30.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
29.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
29.7
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
29.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
29.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
29.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
29.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
29.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
29.0
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
28.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
28.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
28.6
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
28.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
28.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
28.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
28.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
28.3
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
28.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
28.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
28.0
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
28.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
28.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
27.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
27.7
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
27.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
27.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
26.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
26.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
26.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
26.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
26.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
26.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
26.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
26.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
26.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
25.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
25.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
25.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
25.4
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
25.4
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
25.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
25.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
24.9
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
24.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
24.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
24.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
24.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
24.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
24.4
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
24.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
23.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
23.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
23.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
22.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
22.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
22.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
21.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
21.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
21.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
21.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
21.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
21.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
21.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
20.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
20.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
20.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
20.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
20.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
19.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
19.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
19.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
18.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
18.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
18.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
18.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
18.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
17.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
16.6
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
16.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
16.2
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
15.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
15.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
15.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
15.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
14.7
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
14.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
14.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
13.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
13.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
13.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
12.9
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
12.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
12.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
12.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
12.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
10.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
9.1
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
9.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
5.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 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.
TMEM43 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
53.4
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
136.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
128.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
101.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
100.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
97.4
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
92.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
91.0
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
86.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
84.8
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
83.1
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
82.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
76.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
75.9
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
75.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
73.0
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
72.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
72.4
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
71.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
67.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
66.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
66.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
65.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
64.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
63.8
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
63.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
61.8
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
60.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
60.0
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
58.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
58.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
57.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
56.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
56.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
56.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
55.4
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
55.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
54.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
53.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
53.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
52.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
52.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
52.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
52.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
51.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
49.0
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
49.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
48.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
48.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
48.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
47.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
47.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
47.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
46.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
46.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
46.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
46.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
46.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
46.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
45.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
45.9
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
45.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
45.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
44.6
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
44.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
44.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
43.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
43.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
43.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
42.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
41.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
40.9
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
40.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
40.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
40.3
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
40.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
40.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
39.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
39.5
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
39.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
39.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
39.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
38.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
38.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
38.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
37.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
36.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
35.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
35.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
34.7
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
34.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
34.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
32.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
30.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
28.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
28.5
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
25.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
24.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
22.0
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
18.6
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 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.
TMEM43 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
77.7
Number of samples
282
Samples
Sample
Description
TPM
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
344.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
248.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
237.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
228.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
192.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
184.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
183.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
180.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
177.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
175.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
171.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
164.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
163.8
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
162.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
161.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
157.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
149.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
149.2
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
147.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
147.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
145.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
145.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
144.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
141.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
141.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
140.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
140.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
138.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
137.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
135.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
132.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
132.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
132.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
132.2
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
132.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
131.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
130.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
130.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
129.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
129.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
127.5
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
126.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
125.2
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
125.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
124.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
123.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
123.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
123.2
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
122.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
122.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
121.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
121.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
120.7
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
118.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
118.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
118.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
118.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
117.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
117.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
116.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
111.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
111.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
110.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
110.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
110.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
107.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
105.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
104.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
104.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
104.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
103.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
101.8
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
101.7
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
101.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
101.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
100.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
100.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
100.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
99.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
97.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
95.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
94.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
92.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
92.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
92.2
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
91.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
91.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
90.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
90.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
90.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
89.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
89.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
89.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
88.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
88.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
88.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
85.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
84.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
84.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
84.1
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
83.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
83.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
83.0
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
82.7
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
81.7
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
81.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
80.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
80.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
80.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
80.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
79.9
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
79.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
79.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
78.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
78.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
77.9
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
77.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
77.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
76.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
76.7
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
76.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
75.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
74.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
74.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
73.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
73.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
72.8
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
72.7
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
72.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
71.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
71.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
71.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
70.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
70.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
70.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
70.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
69.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
69.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
69.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
69.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
69.1
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
68.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
68.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
68.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
67.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
67.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
67.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
67.1
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
67.0
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
67.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
66.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
66.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
66.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
66.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
66.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
66.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
65.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
65.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
64.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
63.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
62.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
62.0
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
61.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
61.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
60.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
59.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
59.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
59.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
59.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
58.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
57.9
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
57.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
57.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
56.9
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
56.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
56.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
56.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
55.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
55.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
55.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
55.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
54.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
53.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
53.6
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
53.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
53.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
52.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
52.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
51.7
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
51.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
51.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
50.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
49.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
49.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
48.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
48.4
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
48.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
47.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
46.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
46.1
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
45.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
44.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
44.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
44.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
44.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
44.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
44.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
43.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
43.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
43.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
42.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
41.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
41.9
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
41.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
41.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
41.1
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
41.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
40.3
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
40.0
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
39.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
39.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
39.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
39.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
39.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
39.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
38.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
38.1
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
38.0
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
37.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
37.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
36.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
36.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
35.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
35.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
34.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
34.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
34.0
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
33.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
32.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
32.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
32.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
32.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
31.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
31.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
31.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
31.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
30.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
30.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
30.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
29.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
29.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
29.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
29.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
29.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
29.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
28.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
28.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
27.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
27.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
26.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
25.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
25.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
25.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
24.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
23.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
23.7
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
22.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
22.2
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
20.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
19.5
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
19.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
18.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
17.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
17.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
14.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
14.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
13.8
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
13.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
13.4
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
12.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
9.4
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
8.2
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0011410003
Tumor
1.3
CPT0079270003
Tumor
1.0
CPT0081880003
Tumor
1.0
CPT0023350003
Tumor
1.0
CPT0014450004
Tumor
0.9
CPT0025110003
Tumor
0.9
CPT0025290003
Tumor
0.9
CPT0086950003
Tumor
0.9
CPT0000640003
Tumor
0.8
CPT0002350011
Tumor
0.8
CPT0078800003
Tumor
0.8
CPT0024670003
Tumor
0.8
CPT0075130003
Tumor
0.8
CPT0012280003
Tumor
0.7
CPT0001340003
Tumor
0.7
CPT0025170003
Tumor
0.7
CPT0079230003
Tumor
0.7
CPT0088630003
Tumor
0.7
CPT0092730003
Tumor
0.6
CPT0088760003
Tumor
0.6
CPT0009000003
Tumor
0.6
CPT0086030003
Tumor
0.6
CPT0065930003
Tumor
0.5
CPT0077310003
Tumor
0.5
CPT0065810003
Tumor
0.5
CPT0077110003
Tumor
0.5
CPT0015910003
Tumor
0.5
CPT0019130003
Tumor
0.5
CPT0010110003
Tumor
0.5
CPT0092790003
Tumor
0.5
CPT0088480003
Tumor
0.5
CPT0086820003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0025230003
Tumor
0.4
CPT0015810003
Tumor
0.4
CPT0086360003
Tumor
0.4
CPT0001220008
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0025350003
Tumor
0.4
CPT0063630003
Tumor
0.4
CPT0078510003
Tumor
0.4
CPT0088900003
Tumor
0.4
CPT0065750003
Tumor
0.4
CPT0078990003
Tumor
0.4
CPT0089020003
Tumor
0.4
CPT0025580004
Tumor
0.4
CPT0014160003
Tumor
0.4
CPT0023690003
Tumor
0.3
CPT0007320003
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0079480003
Tumor
0.3
CPT0006900003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0087040003
Tumor
0.3
CPT0001500009
Tumor
0.3
CPT0015730003
Tumor
0.3
CPT0088550004
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0001180009
Tumor
0.3
CPT0012370003
Tumor
0.3
CPT0088690003
Tumor
0.3
CPT0014370004
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0007860003
Tumor
0.2
CPT0006630003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0021240003
Tumor
0.2
CPT0069160003
Tumor
0.2
CPT0092160003
Tumor
0.2
CPT0077320001
Normal
0.2
CPT0069000003
Tumor
0.2
CPT0064370003
Tumor
0.2
CPT0086870003
Tumor
0.2
CPT0065690003
Tumor
0.2
CPT0012550003
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0078830003
Tumor
0.2
CPT0084560003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0065870003
Tumor
0.1
CPT0075560003
Tumor
0.1
CPT0006440003
Tumor
0.1
CPT0079380003
Tumor
0.1
CPT0066480003
Tumor
0.1
CPT0025050003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0066470004
Tumor
0.1
CPT0078930003
Tumor
0.1
CPT0071150004
Tumor
0.1
CPT0079410003
Tumor
0.0
CPT0001540009
Tumor
0.0
CPT0019990003
Tumor
0.0
CPT0020120003
Tumor
0.0
CPT0026410003
Tumor
0.0
CPT0000660001
Normal
0.0
CPT0085670003
Tumor
0.0
CPT0000870016
Tumor
0.0
CPT0081990003
Tumor
0.0
CPT0012180003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0077490003
Tumor
0.0
CPT0065820001
Normal
0.0
CPT0084590001
Normal
0.0
CPT0001270001
Normal
0.0
CPT0010120001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0079300001
Normal
-0.1
CPT0023360001
Normal
-0.1
CPT0065450001
Normal
-0.1
CPT0000780007
Tumor
-0.1
CPT0001510001
Normal
-0.2
CPT0088710001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0092310003
Normal
-0.2
CPT0000790001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0066430001
Normal
-0.2
CPT0006530001
Normal
-0.2
CPT0092800003
Normal
-0.2
CPT0089480003
Normal
-0.2
CPT0063640001
Normal
-0.2
CPT0010170001
Normal
-0.2
CPT0064400001
Normal
-0.2
CPT0088640003
Normal
-0.2
CPT0001550001
Normal
-0.2
CPT0001230001
Normal
-0.2
CPT0001190001
Normal
-0.2
CPT0006950001
Normal
-0.3
CPT0023710001
Normal
-0.3
CPT0086970003
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0069190001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0075170001
Normal
-0.3
CPT0002270011
Tumor
-0.3
CPT0081620001
Normal
-0.3
CPT0078840001
Normal
-0.3
CPT0089040001
Normal
-0.3
CPT0092740003
Normal
-0.3
CPT0077140001
Normal
-0.3
CPT0075570001
Normal
-0.3
CPT0088780001
Normal
-0.3
CPT0086370003
Normal
-0.4
CPT0019160001
Normal
-0.4
CPT0025610001
Normal
-0.4
CPT0013790003
Normal
-0.4
CPT0006730001
Normal
-0.4
CPT0088570001
Normal
-0.4
CPT0025920001
Normal
-0.4
CPT0007470001
Normal
-0.4
CPT0076350001
Normal
-0.4
CPT0012290003
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0078660003
Tumor
-0.4
CPT0014470001
Normal
-0.4
CPT0088920001
Normal
-0.4
CPT0078670001
Normal
-0.4
CPT0069010001
Normal
-0.4
CPT0087050003
Normal
-0.4
CPT0088970003
Tumor
-0.4
CPT0079000001
Normal
-0.4
CPT0078530001
Normal
-0.4
CPT0063330001
Normal
-0.5
CPT0077500001
Normal
-0.5
CPT0025060001
Normal
-0.5
CPT0001350001
Normal
-0.5
CPT0082010001
Normal
-0.5
CPT0086890003
Normal
-0.5
CPT0079430001
Normal
-0.5
CPT0009060003
Tumor
-0.5
CPT0020020001
Normal
-0.6
CPT0024680001
Normal
-0.6
CPT0011240003
Tumor
-0.6
CPT0020130001
Normal
-0.6
CPT0075720003
Tumor
-0.7
CPT0017450001
Normal
-0.8
CPT0012640003
Normal
-0.8
CPT0012770003
Normal
-0.8
CPT0012570003
Normal
-0.8
CPT0012090003
Normal
-0.9
CPT0026420001
Normal
-0.9
CPT0009020003
Normal
-1.0
CPT0012900004
Tumor
-1.1
CPT0017850003
Tumor
-1.1
CPT0079180003
Tumor
-1.1
CPT0018250001
Normal
-1.4
CPT0009080003
Normal
-1.5
CPT0012920003
Normal
-1.9
CPT0017410003
Tumor
-2.1
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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
