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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.
TMSB4X 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
1871.2
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
7738.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
5723.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
5365.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
4743.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
4418.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
4331.8
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
4215.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3988.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
3899.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3878.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3810.1
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
3767.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3671.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3392.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
3363.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3062.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2948.5
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2726.5
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2643.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
2630.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2577.0
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
2521.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2321.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1962.9
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1795.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1773.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1673.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1662.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1618.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1314.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1292.5
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1283.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1259.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1165.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1134.7
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1085.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
919.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
840.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
792.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
691.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
637.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
629.3
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
617.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
572.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
561.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
546.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
508.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
490.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
480.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
466.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
413.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
382.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
374.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
359.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
351.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
332.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
328.9
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
305.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
297.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
290.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
283.6
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
232.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
154.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 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.
TMSB4X 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
3989.7
Number of samples
521
Samples
Sample
Description
TPM
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
18191.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
9605.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
9163.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
9144.2
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
8987.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
8829.9
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
8084.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7974.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
7971.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7636.5
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
7158.4
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7158.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
7152.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7123.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
7106.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
7104.6
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
7101.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
7099.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
7010.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
6971.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6879.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6846.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
6826.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6823.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6782.5
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
6749.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
6704.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
6678.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6663.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6575.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
6550.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6511.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6447.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6419.2
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
6417.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
6394.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6392.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6373.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
6301.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
6174.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6150.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
6100.4
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
6090.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6082.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
6070.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
6057.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
6015.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
6003.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5975.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
5929.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
5905.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5879.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
5873.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
5861.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5818.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
5778.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5772.5
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
5757.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
5743.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
5741.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5736.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
5717.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5699.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5684.4
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
5676.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
5637.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5625.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
5615.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5599.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
5586.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
5570.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
5565.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5564.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5546.9
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
5495.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5474.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5472.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5451.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5441.1
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5427.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5421.7
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5418.9
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
5397.7
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
5395.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5394.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
5394.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
5372.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
5353.2
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5317.4
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
5316.9
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5313.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
5299.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
5290.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
5276.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5253.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
5200.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5188.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
5173.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
5172.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
5164.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
5156.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
5156.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5143.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
5143.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5132.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
5118.4
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
5102.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
5087.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5086.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
5077.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
5075.2
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
5072.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5064.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5049.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5040.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5037.0
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
5029.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
5021.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5012.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5010.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5006.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
5002.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4987.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4984.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
4974.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4953.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
4942.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
4941.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4931.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4913.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4894.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4879.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
4875.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
4857.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4825.7
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
4820.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4791.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
4778.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4776.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
4773.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4771.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4770.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
4758.0
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4753.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4747.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4736.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4731.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
4730.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4728.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4723.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
4717.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
4667.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4644.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4639.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4628.6
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4603.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4595.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4583.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
4577.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4550.7
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4538.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
4530.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4525.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4507.7
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4507.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4491.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4486.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
4480.5
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4476.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4471.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4470.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4459.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4456.9
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
4452.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4438.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4435.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
4424.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4418.2
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
4407.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4406.2
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
4386.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
4378.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4375.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4375.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4361.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4346.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
4335.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4316.0
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4303.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
4301.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4297.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4274.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
4273.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
4269.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
4269.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
4268.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4256.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4246.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4240.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4227.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4225.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4213.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4200.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4193.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4188.3
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4180.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4175.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
4171.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4160.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4160.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4156.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
4151.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4145.5
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4145.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4139.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4138.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4132.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4129.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4124.2
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4116.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4108.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4103.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4094.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
4090.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
4068.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4065.3
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4065.1
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4054.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
4047.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4034.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4024.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
4022.7
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4022.3
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4021.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
4016.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4014.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4007.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
4001.3
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
3999.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3994.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3987.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3984.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3954.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3954.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3954.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3947.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3929.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
3927.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3926.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3915.1
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3882.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3872.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3864.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
3848.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3843.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3842.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3842.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3841.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3833.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3833.5
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
3832.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3822.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3820.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3803.8
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3796.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3793.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3785.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3775.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3772.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3769.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3766.8
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3764.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3762.6
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3735.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3734.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3729.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3725.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3694.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
3687.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3675.5
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3675.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3669.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3664.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
3658.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3648.8
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3644.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3630.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3624.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3619.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3607.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3605.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
3597.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3597.5
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3584.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3580.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3575.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
3568.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3565.7
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3537.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3534.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3530.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3523.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3514.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3500.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3500.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3496.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3496.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3490.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3478.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3474.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
3473.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3465.5
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3457.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3455.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3451.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3442.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3436.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3432.6
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3429.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3424.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3416.6
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
3410.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3399.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3394.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3390.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
3380.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3375.8
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3361.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3349.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3305.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3305.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3303.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3300.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3298.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3293.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3289.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
3289.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3282.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3280.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3247.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3242.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
3229.0
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3210.4
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3207.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3180.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3180.0
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3177.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3168.8
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3159.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3153.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3152.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3150.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3148.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3146.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3137.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3129.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3127.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
3108.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3104.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3102.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3094.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3084.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3084.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3082.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3081.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3051.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3034.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3034.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3021.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3010.0
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3009.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3009.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3006.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2999.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2990.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2990.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2982.1
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2977.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2976.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2972.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2966.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2930.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2896.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2893.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2886.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2886.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
2882.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2879.6
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2869.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
2868.2
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2867.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2864.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2862.6
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2856.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2844.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2843.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2838.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2832.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2823.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2822.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2817.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2812.2
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2809.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2801.9
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2792.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2782.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2764.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2757.0
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2749.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2741.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2728.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2726.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2721.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2721.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2716.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2715.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2705.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2702.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2699.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2698.1
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2697.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2688.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2687.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2686.2
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2674.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2662.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2660.1
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2649.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2646.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2643.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2641.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2639.4
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2637.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2636.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2631.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2598.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2578.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2567.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2549.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2549.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2539.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2538.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2533.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2529.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2519.6
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2518.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2514.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2506.6
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2497.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2495.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2474.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2473.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2472.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2468.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2457.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2452.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2450.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2450.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2437.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2378.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2371.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2364.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
2329.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2320.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2312.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2309.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2282.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2271.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2213.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2205.8
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2186.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2182.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2162.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2161.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2154.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2130.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2129.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2128.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2076.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2074.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2035.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2007.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2005.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1975.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1968.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1958.0
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1945.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1935.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1935.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1891.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1870.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1832.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1801.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1789.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1786.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1765.8
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1754.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1731.0
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1708.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1688.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1676.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1664.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1659.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1657.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1626.0
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1611.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1598.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1572.8
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1568.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1551.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1419.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1392.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1364.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1345.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1312.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1225.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1190.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1173.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1125.6
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1102.5
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 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.
TMSB4X 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
3490.2
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
10832.2
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
8623.4
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
8094.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
6090.7
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6089.7
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
6007.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
5960.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
5821.9
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5768.9
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5523.6
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
5424.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
5424.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5271.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5188.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5037.4
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5027.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5021.3
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4968.9
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4804.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4450.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4430.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
4353.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4327.3
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
4298.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4289.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
4282.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4277.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4252.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4150.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4141.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3936.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3882.9
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3762.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3672.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3574.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3571.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3553.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3501.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3480.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3450.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3449.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3401.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3379.8
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3356.0
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3342.7
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3325.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3271.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3237.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3203.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3197.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3166.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3163.7
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3145.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3113.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2958.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2932.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2847.3
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2828.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2803.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2795.4
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2787.4
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2781.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2726.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2721.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2685.8
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2674.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2646.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2602.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2571.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2516.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2501.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2474.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2457.2
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2403.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2395.2
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2365.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2310.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2296.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2282.6
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2280.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2244.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2238.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2234.8
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
2221.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2170.1
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2132.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2098.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1999.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1988.6
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1982.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1975.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1896.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1755.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1701.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1641.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1600.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1475.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1411.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1155.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 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.
TMSB4X 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
2504.9
Number of samples
282
Samples
Sample
Description
TPM
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
14175.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
10267.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
7906.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
7444.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
6478.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
6457.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
6450.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
6355.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6287.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6061.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
5887.9
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5835.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5819.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5761.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
5508.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
5351.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
5176.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5142.4
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
5112.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5069.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5008.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
4989.6
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4969.7
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4899.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4856.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
4813.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4802.6
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4762.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
4735.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4703.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4681.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4637.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4627.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4621.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
4564.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4552.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4548.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4468.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4403.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4294.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4271.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4227.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4197.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4167.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4159.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4157.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4100.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4091.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4090.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4047.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
4034.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3998.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
3962.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3916.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
3845.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3839.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3836.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3762.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3745.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3728.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3722.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3705.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
3699.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
3679.5
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3671.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3658.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
3654.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
3608.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3607.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
3598.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3598.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3547.1
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
3542.0
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3525.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3465.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3436.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3409.2
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
3401.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3397.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3395.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3375.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3354.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3351.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3284.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
3282.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3260.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
3248.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3222.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3179.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3164.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3134.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3118.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3086.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
3053.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3042.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3039.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3028.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3028.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3022.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2972.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2953.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2950.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2942.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2911.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2909.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2901.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2855.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2838.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2824.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2797.4
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2791.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2785.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2775.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2765.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2765.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2765.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2723.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2722.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2703.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2670.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2660.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2630.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2603.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2581.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2551.5
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2534.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2532.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2530.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2529.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2501.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2488.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2468.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2462.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2454.8
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2449.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2449.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2438.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2428.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2426.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2419.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2414.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2414.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2411.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2397.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2368.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2366.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2335.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2320.5
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2316.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2280.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2274.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2273.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2268.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2265.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2262.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2241.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2237.5
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2230.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2171.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2152.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2133.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2105.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2099.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2088.0
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2086.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2062.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2039.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2022.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2017.2
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2016.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2002.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1944.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1941.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1933.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1899.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1880.7
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1868.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1851.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1777.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
1754.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1714.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1673.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1651.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1620.4
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1615.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1612.5
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1604.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1579.6
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1579.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1575.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1533.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1529.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1431.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1398.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1339.1
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1321.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1318.5
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1311.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1277.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1260.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1232.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1124.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1104.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1087.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1061.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1033.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
976.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
959.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
936.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
903.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
849.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
827.1
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
818.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
817.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
814.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
799.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
769.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
762.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
719.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
717.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
681.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
663.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
648.2
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
644.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
634.8
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
607.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
594.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
589.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
565.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
560.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
555.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
554.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
551.6
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
526.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
523.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
520.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
519.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
514.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
501.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
492.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
477.6
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
469.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
453.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
452.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
451.9
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
448.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
443.6
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
440.0
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
436.4
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
418.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
413.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
410.3
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
408.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
395.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
384.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
379.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
372.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
368.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
337.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
335.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
333.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
326.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
308.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
304.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
294.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
290.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
266.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
264.8
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
263.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
251.7
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
246.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
241.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
220.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
204.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
204.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
195.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
187.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
186.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
176.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
145.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
123.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
81.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.9
CPT0079180003
Tumor
1.5
CPT0084560003
Tumor
1.0
CPT0092190003
Normal
1.0
CPT0015810003
Tumor
0.9
CPT0079380003
Tumor
0.9
CPT0000780007
Tumor
0.9
CPT0088970003
Tumor
0.8
CPT0078990003
Tumor
0.8
CPT0066480003
Tumor
0.8
CPT0078510003
Tumor
0.7
CPT0092730003
Tumor
0.7
CPT0088480003
Tumor
0.7
CPT0088630003
Tumor
0.7
CPT0075720003
Tumor
0.7
CPT0065690003
Tumor
0.6
CPT0010110003
Tumor
0.6
CPT0081600003
Tumor
0.6
CPT0092160003
Tumor
0.6
CPT0087040003
Tumor
0.6
CPT0079510001
Normal
0.6
CPT0086950003
Tumor
0.6
CPT0071150004
Tumor
0.6
CPT0017410003
Tumor
0.6
CPT0065930003
Tumor
0.6
CPT0092790003
Tumor
0.6
CPT0081880003
Tumor
0.6
CPT0084590001
Normal
0.5
CPT0089020003
Tumor
0.5
CPT0086870003
Tumor
0.5
CPT0077320001
Normal
0.5
CPT0023350003
Tumor
0.5
CPT0007320003
Tumor
0.5
CPT0001540009
Tumor
0.5
CPT0025050003
Tumor
0.5
CPT0063630003
Tumor
0.5
CPT0086360003
Tumor
0.5
CPT0075560003
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0078660003
Tumor
0.5
CPT0010120001
Normal
0.4
CPT0025290003
Tumor
0.4
CPT0075170001
Normal
0.4
CPT0086030003
Tumor
0.4
CPT0015910003
Tumor
0.4
CPT0079230003
Tumor
0.4
CPT0000640003
Tumor
0.4
CPT0085670003
Tumor
0.4
CPT0064370003
Tumor
0.4
CPT0001270001
Normal
0.4
CPT0078800003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0079410003
Tumor
0.4
CPT0088690003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0000870016
Tumor
0.4
CPT0075130003
Tumor
0.4
CPT0088900003
Tumor
0.4
CPT0019990003
Tumor
0.4
CPT0001180009
Tumor
0.4
CPT0081990003
Tumor
0.4
CPT0065870003
Tumor
0.3
CPT0012550003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0025170003
Tumor
0.3
CPT0088760003
Tumor
0.3
CPT0011240003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0014470001
Normal
0.3
CPT0006630003
Tumor
0.3
CPT0021240003
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0066470004
Tumor
0.2
CPT0002350011
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0014450004
Tumor
0.2
CPT0017850003
Tumor
0.2
CPT0014370004
Tumor
0.2
CPT0086820003
Tumor
0.2
CPT0079300001
Normal
0.2
CPT0006440003
Tumor
0.2
CPT0025350003
Tumor
0.2
CPT0079480003
Tumor
0.2
CPT0001340003
Tumor
0.2
CPT0012180003
Tumor
0.2
CPT0020120003
Tumor
0.2
CPT0007860003
Tumor
0.2
CPT0025110003
Tumor
0.2
CPT0006900003
Tumor
0.2
CPT0078930003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0014160003
Tumor
0.1
CPT0065820001
Normal
0.1
CPT0023690003
Tumor
0.1
CPT0026410003
Tumor
0.1
CPT0010160003
Tumor
0.1
CPT0079270003
Tumor
0.1
CPT0019130003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0078830003
Tumor
0.0
CPT0025580004
Tumor
0.0
CPT0000660001
Normal
0.0
CPT0069190001
Normal
0.0
CPT0077310003
Tumor
0.0
CPT0089460004
Tumor
0.0
CPT0088570001
Normal
0.0
CPT0065810003
Tumor
0.0
CPT0002370001
Normal
-0.1
CPT0001550001
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0006530001
Normal
-0.1
CPT0075570001
Normal
-0.1
CPT0001190001
Normal
-0.1
CPT0063330001
Normal
-0.2
CPT0078530001
Normal
-0.2
CPT0066520001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0001500009
Tumor
-0.2
CPT0001510001
Normal
-0.2
CPT0089040001
Normal
-0.2
CPT0086830003
Normal
-0.2
CPT0009060003
Tumor
-0.2
CPT0012080003
Tumor
-0.2
CPT0025060001
Normal
-0.3
CPT0086890003
Normal
-0.3
CPT0001230001
Normal
-0.3
CPT0020020001
Normal
-0.3
CPT0012640003
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0086970003
Normal
-0.3
CPT0063640001
Normal
-0.3
CPT0007470001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0013790003
Normal
-0.4
CPT0009000003
Tumor
-0.4
CPT0069000003
Tumor
-0.4
CPT0000790001
Normal
-0.4
CPT0020130001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0088640003
Normal
-0.5
CPT0079430001
Normal
-0.5
CPT0002270011
Tumor
-0.5
CPT0019160001
Normal
-0.5
CPT0065750003
Tumor
-0.5
CPT0086370003
Normal
-0.5
CPT0064400001
Normal
-0.5
CPT0092800003
Normal
-0.5
CPT0025920001
Normal
-0.5
CPT0023360001
Normal
-0.5
CPT0015730003
Tumor
-0.5
CPT0078670001
Normal
-0.5
CPT0010170001
Normal
-0.5
CPT0012290003
Normal
-0.6
CPT0088920001
Normal
-0.6
CPT0079000001
Normal
-0.6
CPT0082010001
Normal
-0.6
CPT0078840001
Normal
-0.6
CPT0006730001
Normal
-0.6
CPT0024680001
Normal
-0.6
CPT0026420001
Normal
-0.6
CPT0088780001
Normal
-0.6
CPT0012920003
Normal
-0.6
CPT0076350001
Normal
-0.6
CPT0009020003
Normal
-0.6
CPT0092310003
Normal
-0.7
CPT0092740003
Normal
-0.7
CPT0087050003
Normal
-0.7
CPT0012670003
Tumor
-0.7
CPT0081620001
Normal
-0.7
CPT0077140001
Normal
-0.7
CPT0077500001
Normal
-0.7
CPT0066430001
Normal
-0.7
CPT0001350001
Normal
-0.7
CPT0006950001
Normal
-0.8
CPT0089480003
Normal
-0.8
CPT0069010001
Normal
-0.8
CPT0012570003
Normal
-0.8
CPT0012090003
Normal
-0.8
CPT0025610001
Normal
-0.8
CPT0024670003
Tumor
-0.8
CPT0012900004
Tumor
-0.8
CPT0065450001
Normal
-0.9
CPT0014350001
Normal
-0.9
CPT0017450001
Normal
-0.9
CPT0009080003
Normal
-1.0
CPT0012770003
Normal
-1.0
CPT0018250001
Normal
-1.0
CPT0023710001
Normal
-1.0
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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
