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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 pTPM
2155.2
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
10298.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
6379.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
6136.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
5351.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
4921.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
4837.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
4808.0
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
4514.5
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
4400.5
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
4346.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
4243.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
4186.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
4028.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3911.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
3831.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3451.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3363.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
3061.4
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
3016.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
2907.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2881.6
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2863.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2622.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2230.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2047.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1997.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1825.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1823.5
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1803.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1757.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1642.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1492.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1436.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1299.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1298.6
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1258.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1083.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
927.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
882.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
796.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
790.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
786.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
714.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
693.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
683.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
641.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
624.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
610.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
561.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
535.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
514.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
463.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
457.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
457.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
423.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
414.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
408.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
383.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
376.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
369.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
368.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
279.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
208.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 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 pTPM
4830.5
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
21956.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
11867.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
11158.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
10951.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
10859.0
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
10486.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
10411.5
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
9679.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
9612.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
9409.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
8945.6
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
8889.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
8862.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
8705.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8652.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
8601.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
8580.1
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
8541.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
8528.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
8452.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
8425.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8360.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
8344.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
8338.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
8329.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
8309.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
8285.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
8259.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
8167.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
8120.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
8109.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7932.0
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
7867.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
7854.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7755.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7677.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
7645.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
7645.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
7604.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
7598.2
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
7575.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
7551.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
7539.1
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
7402.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7366.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
7278.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7252.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
7249.7
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7230.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7208.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
7208.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
7187.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
7148.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
7126.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
7032.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
7031.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
7015.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
6965.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6952.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
6943.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
6938.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
6901.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
6899.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
6885.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
6852.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6834.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
6801.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6705.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
6698.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
6691.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6680.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
6674.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
6666.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
6666.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
6661.5
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
6660.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6643.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
6631.2
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6620.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
6588.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
6572.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
6554.8
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
6553.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6533.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6530.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6503.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
6490.8
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
6451.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
6435.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
6426.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6426.1
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
6418.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
6413.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
6365.9
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
6356.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6352.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
6344.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
6332.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
6313.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
6292.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6279.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
6275.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
6273.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
6242.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
6242.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
6241.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
6217.4
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6184.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6182.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6179.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
6173.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6101.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6098.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
6091.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
6090.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
6084.5
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6057.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
6056.6
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
6054.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
6047.4
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
6032.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6021.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
6019.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
6012.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6002.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5998.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5996.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
5982.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
5977.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
5973.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5972.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
5962.9
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
5939.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5933.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5914.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
5907.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5896.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5888.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5878.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
5878.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
5851.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5825.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
5821.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
5811.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5802.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
5798.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5796.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5784.2
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5760.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
5759.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5734.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
5730.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
5707.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
5707.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
5672.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5631.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
5630.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5593.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
5556.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
5554.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5539.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
5533.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5526.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5518.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5514.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5487.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
5477.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
5444.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5437.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
5432.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5431.3
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5431.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5423.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
5416.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5403.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5400.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5385.2
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5378.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5344.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
5327.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
5326.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
5292.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5291.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5291.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
5285.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
5251.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
5245.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5244.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
5243.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
5237.2
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5233.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
5229.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5220.4
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5220.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
5203.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5194.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
5153.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
5131.1
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
5130.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
5129.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
5126.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5121.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5120.5
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5102.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
5095.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
5092.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
5091.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
5082.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
5072.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
5068.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5065.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
5054.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
5048.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
5028.6
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
5003.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4992.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4988.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4984.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4982.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4980.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4976.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4976.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4974.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4958.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
4938.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4938.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4931.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4909.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4884.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
4876.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4868.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4856.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4848.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4835.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
4818.0
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
4817.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4812.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4810.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
4805.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4804.9
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4798.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4798.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
4788.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4778.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
4776.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4767.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4759.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4751.5
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4736.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
4731.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4717.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
4706.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4687.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4684.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4674.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4672.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4670.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4640.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4638.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
4605.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4605.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
4605.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4591.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4591.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4573.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
4562.3
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4559.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4549.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4547.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4528.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
4518.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4517.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
4516.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4506.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4503.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4495.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4490.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4486.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
4473.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
4471.5
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4471.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4466.2
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4445.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
4415.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4412.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
4412.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4384.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4378.1
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4365.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
4354.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4342.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4329.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4320.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4317.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
4316.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4311.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4308.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4298.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4291.0
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
4276.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
4264.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4253.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
4249.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
4235.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4214.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
4207.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
4205.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4204.6
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
4198.2
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4189.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4180.4
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
4171.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
4170.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
4157.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4141.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
4135.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4130.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4125.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
4109.9
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4105.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4102.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
4102.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4096.4
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
4088.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
4086.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4085.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
4083.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4076.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
4075.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4074.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4056.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4053.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
4053.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
4048.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
4046.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3983.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3957.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3951.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3951.3
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3947.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3946.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3943.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3939.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3935.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3933.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3931.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3929.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3904.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3899.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3873.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3834.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3806.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3803.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
3795.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3767.5
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3739.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3737.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3733.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3721.6
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3716.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3696.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3692.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3686.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3678.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3674.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3669.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3668.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3666.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3663.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3659.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3646.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3644.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3628.4
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3619.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3579.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3566.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3565.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
3557.6
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3551.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3550.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3549.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3545.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
3541.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3530.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3524.9
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3505.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3500.4
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3487.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3474.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3472.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
3446.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3443.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3433.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
3431.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3424.7
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3418.8
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3400.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
3385.8
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3380.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3376.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
3337.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3336.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3335.9
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3329.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3327.9
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3323.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3321.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3303.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3300.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3300.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3295.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3286.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3262.3
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3258.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3247.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3239.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3232.5
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
3229.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3225.6
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3225.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3219.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3218.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3204.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3204.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3201.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3197.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3166.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3162.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3160.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3159.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3147.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3140.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
3135.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3116.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3114.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3106.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
3087.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
3082.8
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3066.7
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3054.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
3050.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3039.6
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
3021.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3013.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3003.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
3001.3
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2995.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2991.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2990.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2986.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2974.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2973.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2969.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2961.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2959.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2959.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2933.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2933.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2931.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2929.5
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2926.8
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2795.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2789.7
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
2767.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2760.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2744.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2736.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2666.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2658.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2627.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2624.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2615.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2602.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2571.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2528.9
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2523.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
2519.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2514.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2510.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2472.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2464.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2455.8
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2389.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2386.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2363.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2354.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2340.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2237.4
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2219.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2196.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2175.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2169.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2120.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2105.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2089.5
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2074.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2056.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2055.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2025.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1983.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1979.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1960.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1953.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1949.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1947.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1945.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1943.0
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1935.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1889.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1862.1
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1648.5
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1631.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1573.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1571.4
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1568.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1435.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1434.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1375.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1305.6
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1289.6
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 pTPM
4288.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
13105.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
10741.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
10074.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
7625.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
7540.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7504.4
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
7466.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
7450.7
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7097.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6875.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
6709.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
6588.4
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6415.4
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
6367.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6212.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6193.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6181.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6061.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5916.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5610.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5564.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
5553.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5488.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
5375.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
5340.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
5304.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
5263.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
5228.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
5121.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5026.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4851.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
4717.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4698.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4681.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4475.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
4472.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4453.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
4383.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
4364.8
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4312.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
4210.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4171.2
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4137.2
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4094.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4091.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4085.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3975.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3964.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3940.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3894.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3871.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3791.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3790.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3771.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3744.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3718.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3553.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3463.0
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3426.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
3410.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3376.2
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3352.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3311.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3295.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3282.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3232.8
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3166.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3115.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
3103.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3055.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3027.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2997.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2991.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2910.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2847.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2826.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2812.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
2790.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2750.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2748.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2731.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2726.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2687.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2670.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2562.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2550.9
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2539.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2433.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2419.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2331.3
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2330.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2325.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2157.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2022.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2014.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1851.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1823.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1554.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1383.3
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 pTPM
3015.6
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
16673.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
12617.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
9521.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
8745.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
7875.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
7762.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
7716.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
7565.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
7478.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
7266.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
7094.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
6988.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
6979.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6846.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
6497.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6382.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
6373.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6212.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
6203.7
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
6136.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
6069.4
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6057.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
6006.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5905.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
5764.0
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
5756.4
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5712.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
5701.8
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5622.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5600.6
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
5550.4
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
5534.6
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5525.9
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
5510.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5462.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
5460.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5443.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
5412.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
5286.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
5247.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
5221.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
5151.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
5081.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
5021.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4986.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4955.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4934.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4894.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4869.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4835.1
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4804.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4745.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
4743.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
4740.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
4681.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4670.7
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4646.0
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
4641.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4614.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4598.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4537.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
4470.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
4465.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4426.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4398.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4389.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
4326.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
4320.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
4308.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4265.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4262.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4233.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4196.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4183.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
4168.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4139.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4138.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
4020.0
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3999.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3994.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
3974.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3974.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3964.4
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3951.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
3924.7
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3909.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3905.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3871.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3861.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3838.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3820.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3814.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3732.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3727.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3679.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3591.4
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
3582.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
3573.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3565.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3559.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3552.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3536.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3518.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
3511.1
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
3486.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3473.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3445.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3444.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
3422.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3421.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3383.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3351.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
3340.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3282.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
3276.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3227.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3200.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3191.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3178.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
3174.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3143.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3140.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3099.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3089.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3086.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3021.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3008.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3008.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2998.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2996.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2982.6
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2974.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2963.9
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2953.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2938.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2927.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2924.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2905.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2893.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2884.3
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2879.2
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2876.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2856.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2843.2
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2831.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2821.6
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2800.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2784.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2757.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2737.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2715.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2713.7
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2706.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2704.9
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2659.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2627.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2624.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2619.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2555.3
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2530.6
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2522.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2520.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2506.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2499.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2487.0
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2486.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2467.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2435.4
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2429.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2375.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2372.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2362.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2343.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2295.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2235.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
2232.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2216.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2212.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2153.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2141.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2053.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2044.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2013.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1978.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1951.6
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1929.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1908.3
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1891.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1843.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1821.1
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1766.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1760.5
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1744.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1712.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1684.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1673.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1611.5
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1610.0
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1523.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1455.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1454.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1412.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1359.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1278.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1274.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1269.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1257.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1252.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1179.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1124.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1120.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1076.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1056.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1024.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1014.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
976.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
965.7
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
965.5
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
936.5
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
925.9
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
922.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
867.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
861.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
860.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
839.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
826.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
811.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
789.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
784.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
757.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
737.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
714.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
713.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
712.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
711.0
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
696.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
676.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
675.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
650.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
638.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
626.6
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
616.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
616.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
608.4
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
604.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
598.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
580.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
580.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
546.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
531.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
530.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
525.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
521.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
521.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
497.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
486.7
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
482.8
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
466.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
452.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
426.7
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
422.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
416.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
412.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
404.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
389.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
387.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
352.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
348.6
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
345.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
342.5
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
313.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
299.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
298.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
280.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
258.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
241.6
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
240.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
239.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
221.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
193.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
165.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
101.8
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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
