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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.
ACTB 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
3860.9
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
16692.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
8429.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
8376.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
8072.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
7933.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
7874.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
7094.3
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
6879.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
6798.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
6405.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
6156.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
5762.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
5513.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
5360.2
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
5083.7
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
4793.5
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
4601.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
4479.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
4227.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
4208.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
4155.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3916.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
3916.3
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
3896.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3884.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
3713.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
3640.9
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
3537.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
3320.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3183.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
3157.8
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3121.6
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
3042.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2889.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2799.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2714.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2647.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2609.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2590.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2562.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2552.9
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2511.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2508.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
2499.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2477.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2386.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2213.2
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2198.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2148.3
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2129.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2113.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2110.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2083.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
2077.7
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1992.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1858.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1704.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1655.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1635.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1524.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1451.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1359.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
972.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 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.
ACTB is potential prognostic, high expression is unfavorable 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
3722.8
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
11341.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
11046.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
10429.1
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
9565.2
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
9048.0
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
7535.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7457.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
7364.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7241.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
7094.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
6778.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
6776.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
6686.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6655.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
6599.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
6554.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
6532.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
6416.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
6374.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6364.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
6220.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6208.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
6156.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
6098.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
6057.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
6006.1
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5999.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5921.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5917.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
5899.3
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5836.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
5835.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
5820.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5812.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
5749.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
5748.7
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
5644.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5644.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
5625.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5602.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
5594.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
5571.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
5567.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
5560.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5511.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
5495.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5485.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
5471.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5459.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
5453.3
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5437.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
5423.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
5418.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5365.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5358.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5308.8
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
5290.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5287.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
5282.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
5277.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5255.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5233.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5223.1
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5212.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
5205.3
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5191.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
5136.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
5116.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
5108.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
5104.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
5101.0
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5065.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
5041.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5039.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5011.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4979.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4978.6
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4948.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
4933.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
4902.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4896.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4893.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
4875.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4857.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4838.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
4830.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4800.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
4794.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
4773.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4761.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4760.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4755.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4752.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4737.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
4735.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4735.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
4699.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4697.3
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4696.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4696.8
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
4696.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4680.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
4667.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
4641.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4610.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4609.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4605.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
4575.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4574.0
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4570.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4569.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4565.4
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4542.3
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4538.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4528.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
4519.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
4518.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4510.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
4504.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
4490.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4487.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4482.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4474.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4468.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4466.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4457.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4378.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4377.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
4369.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4349.6
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4335.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4329.1
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4324.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
4322.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
4304.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
4304.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
4285.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4283.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
4282.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4282.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4281.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
4274.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
4273.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
4266.4
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4265.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4264.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4258.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
4237.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4226.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4224.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4209.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4206.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
4199.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4193.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4183.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4181.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4171.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
4147.5
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4115.3
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
4113.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4091.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4080.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
4075.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
4074.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4070.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4057.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
4056.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4032.1
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4029.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
4028.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4025.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
4025.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4025.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4002.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3991.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3979.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3978.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3975.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3971.4
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
3969.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3966.3
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3947.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3930.8
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3927.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3916.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3912.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3897.6
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3891.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3889.8
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3888.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3872.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3862.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3862.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3861.4
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3861.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3860.6
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3860.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3841.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3825.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
3819.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3819.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3816.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3812.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3806.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3805.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3803.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
3801.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3796.9
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3794.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3792.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3790.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3780.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3771.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3755.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3754.6
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3752.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3750.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3729.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3721.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3715.7
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3710.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3699.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3698.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3697.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3693.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3684.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
3667.7
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3664.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3659.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
3653.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3649.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3647.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3647.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3644.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
3643.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3640.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3639.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3635.3
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3627.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
3627.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
3616.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3616.6
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3615.8
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3614.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3595.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3591.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3578.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3568.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3566.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3562.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3561.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3559.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3547.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3545.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3540.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3534.8
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
3531.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
3528.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3525.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3511.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
3494.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3492.2
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3486.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3479.8
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3477.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3469.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3469.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3467.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3462.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3459.1
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
3458.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3457.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3445.1
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3443.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3439.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3419.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3414.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3413.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
3409.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3408.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3406.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3405.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
3401.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
3398.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3396.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3392.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3378.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3376.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3368.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3368.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3367.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3367.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3366.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3365.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3359.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3354.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3340.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3340.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3338.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3319.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3316.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3314.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3304.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3299.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3294.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3294.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3290.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3289.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3279.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3274.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3272.9
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3272.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3271.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3266.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3251.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3242.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3233.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3229.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3227.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3227.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3225.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3223.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3212.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3211.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3209.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3196.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3194.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3190.3
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3171.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3169.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3158.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3157.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3145.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3144.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
3144.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3141.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3140.3
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3139.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3136.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3131.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3126.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3122.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3120.3
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3118.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3115.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3092.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3089.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3077.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3075.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3073.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3073.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3068.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3060.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3057.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3055.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3055.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3052.5
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
3048.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3047.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3041.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3041.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3039.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3036.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3035.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3028.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3020.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3017.4
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3015.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3012.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3011.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3011.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3004.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
3002.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2991.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2977.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2966.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2944.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2942.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2942.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2923.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2922.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2910.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2908.7
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2907.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2903.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2890.2
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2885.4
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2884.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2882.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2880.6
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2877.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2868.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2866.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2864.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2856.2
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2854.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2854.5
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2846.0
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2812.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2812.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2811.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2810.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2804.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2797.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2797.0
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2795.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2788.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2778.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2774.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2769.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2763.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2762.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2745.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2742.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2736.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2735.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2727.7
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2710.2
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2709.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
2695.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2669.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2667.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2664.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2663.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2659.2
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2657.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2637.2
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2625.0
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2616.1
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2615.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2615.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2610.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2608.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2589.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2588.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
2573.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2569.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2558.6
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2541.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2537.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2535.3
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2532.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2523.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2516.9
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2516.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2513.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2489.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2486.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2477.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2471.6
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2456.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2440.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2437.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2412.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2411.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2406.5
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
2402.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2396.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2393.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2392.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
2382.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2366.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2357.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2352.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
2348.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2346.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2328.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2325.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2319.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2316.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2307.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2306.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2300.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2291.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2291.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2290.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2286.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
2265.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2238.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2233.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2229.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2209.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2206.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2194.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2173.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2160.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2154.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2140.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2099.8
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2091.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2085.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2083.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2078.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2019.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
1991.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1975.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1967.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1965.8
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1887.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1752.8
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1746.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
1718.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1705.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1705.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
1704.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
1676.5
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1661.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1648.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1613.1
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1609.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1577.2
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1547.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1532.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1518.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1488.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1466.3
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1340.3
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1336.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1050.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1032.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB 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
2581.1
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5798.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4993.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4965.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
4858.5
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4813.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4361.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4165.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4120.7
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
4114.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3863.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3636.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3614.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
3560.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3537.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3508.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3485.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3426.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3251.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3246.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
3218.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3117.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3004.3
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2988.9
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2963.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2902.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2874.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2837.6
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2816.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2807.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2771.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2762.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2743.2
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2737.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2717.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2644.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2644.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2637.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2589.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2588.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2555.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2544.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2541.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2540.2
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2516.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2495.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2477.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2472.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2469.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2457.8
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2451.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2402.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2402.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2400.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2382.2
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2365.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2337.5
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2315.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2297.7
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2292.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2278.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2250.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2244.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2222.8
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2199.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2176.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2169.2
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2168.1
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2161.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2130.3
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2064.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2055.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2022.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2017.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2003.4
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2003.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1996.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1950.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1948.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1924.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1917.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1874.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1824.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1803.5
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1802.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1782.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1780.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1776.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1747.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1709.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1651.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1622.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1595.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1499.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1462.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1444.0
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1408.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1370.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1252.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1248.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACTB 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
5434.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
24550.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
20618.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
19963.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
18637.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
16736.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
16399.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
15665.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
14852.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
14249.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
13280.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
12832.5
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
12274.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
11705.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
11578.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
11098.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
10891.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
10889.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
10820.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
10735.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
10541.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
10036.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
10015.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
9777.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
9526.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
9415.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
9409.2
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
9327.6
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
9093.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
8984.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
8965.9
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
8813.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
8731.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
8618.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
8599.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
8485.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
8437.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
8383.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
8241.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
8193.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
8028.2
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
8017.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
8013.7
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
7836.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
7682.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
7662.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
7649.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
7560.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7452.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
7051.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
7021.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
6969.5
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6918.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6917.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
6886.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
6845.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
6823.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6812.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
6785.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
6751.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
6693.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
6555.7
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
6490.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
6441.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
6420.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
6419.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
6303.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
6280.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
6262.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
6236.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
6212.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
6212.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
6212.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
6183.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
6101.9
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
6099.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
6076.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
6003.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
5987.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
5982.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
5950.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
5927.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5913.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
5848.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
5833.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
5811.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
5807.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
5804.0
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
5741.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
5735.1
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
5720.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
5663.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
5580.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5510.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5475.8
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5456.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
5434.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
5430.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5420.4
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
5404.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
5334.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
5323.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
5320.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5279.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
5275.8
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
5255.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
5220.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
5213.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5204.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
5185.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
5181.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5179.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5128.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
5124.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5098.9
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
5096.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
5077.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
5061.5
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
5058.2
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
5040.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
5036.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
5030.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
5028.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5024.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4994.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
4990.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
4975.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4950.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4906.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4852.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4851.6
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4848.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
4827.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4815.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
4762.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4709.4
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
4704.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4704.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4689.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4657.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4613.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
4606.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4587.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
4578.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
4576.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
4541.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4530.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
4511.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4508.8
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4504.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
4500.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4494.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
4487.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
4483.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4471.0
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
4448.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4428.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
4427.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
4397.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4354.8
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4323.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4319.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
4288.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
4287.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
4273.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
4234.1
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4228.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
4225.4
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
4193.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
4193.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
4188.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
4172.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
4167.2
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
4153.8
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4110.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
4104.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4102.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
4071.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
4032.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4024.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
4005.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3977.9
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
3946.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3913.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3912.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3905.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
3861.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
3850.1
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3836.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3818.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3799.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
3775.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3765.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3759.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
3752.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
3750.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
3725.9
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
3724.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3669.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3647.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3646.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3643.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3614.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3610.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3605.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
3602.7
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3598.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3598.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3580.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
3536.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3531.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3507.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
3504.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
3485.8
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3467.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3445.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3439.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3412.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3410.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3383.8
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3377.0
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3323.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3304.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3248.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3243.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3228.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3210.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3208.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3164.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3147.6
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3146.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3099.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
3063.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3038.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
3036.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
3025.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2999.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2998.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
2989.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2981.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2970.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2958.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2953.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
2902.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
2895.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2873.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2858.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2837.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2824.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2744.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2725.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2723.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2704.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2691.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2674.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2654.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2616.5
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2614.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2576.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2555.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2541.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2498.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2491.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2456.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2422.1
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2352.1
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2329.2
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2322.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2246.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2177.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2159.2
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2144.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2109.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2068.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2025.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1981.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1944.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1925.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1845.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1796.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1735.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1646.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1619.9
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0011240003
Tumor
1.0
CPT0017850003
Tumor
0.8
CPT0066480003
Tumor
0.8
CPT0084560003
Tumor
0.8
CPT0075560003
Tumor
0.7
CPT0024680001
Normal
0.5
CPT0077320001
Normal
0.5
CPT0021240003
Tumor
0.5
CPT0088550004
Tumor
0.4
CPT0081990003
Tumor
0.4
CPT0076330003
Tumor
0.4
CPT0017410003
Tumor
0.4
CPT0025170003
Tumor
0.4
CPT0012670003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0015910003
Tumor
0.4
CPT0084590001
Normal
0.4
CPT0079180003
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0078510003
Tumor
0.3
CPT0081880003
Tumor
0.3
CPT0069000003
Tumor
0.3
CPT0079510001
Normal
0.3
CPT0063630003
Tumor
0.3
CPT0020120003
Tumor
0.3
CPT0066520001
Normal
0.3
CPT0077310003
Tumor
0.3
CPT0065930003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0012180003
Tumor
0.2
CPT0010120001
Normal
0.2
CPT0075570001
Normal
0.2
CPT0075170001
Normal
0.2
CPT0012920003
Normal
0.2
CPT0077490003
Tumor
0.2
CPT0069190001
Normal
0.2
CPT0088630003
Tumor
0.2
CPT0018250001
Normal
0.2
CPT0088760003
Tumor
0.2
CPT0086970003
Normal
0.2
CPT0023690003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0007470001
Normal
0.2
CPT0076350001
Normal
0.2
CPT0014470001
Normal
0.2
CPT0069010001
Normal
0.2
CPT0077500001
Normal
0.2
CPT0088570001
Normal
0.2
CPT0023360001
Normal
0.2
CPT0081600003
Tumor
0.2
CPT0009020003
Normal
0.1
CPT0000660001
Normal
0.1
CPT0092730003
Tumor
0.1
CPT0065690003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0002370001
Normal
0.1
CPT0025230003
Tumor
0.1
CPT0023350003
Tumor
0.1
CPT0014160003
Tumor
0.1
CPT0019990003
Tumor
0.1
CPT0001270001
Normal
0.1
CPT0092290003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0075130003
Tumor
0.1
CPT0086030003
Tumor
0.1
CPT0025050003
Tumor
0.1
CPT0017450001
Normal
0.1
CPT0010170001
Normal
0.1
CPT0012090003
Normal
0.1
CPT0092160003
Tumor
0.1
CPT0009080003
Normal
0.1
CPT0007860003
Tumor
0.1
CPT0063640001
Normal
0.1
CPT0092790003
Tumor
0.1
CPT0082010001
Normal
0.1
CPT0000890001
Normal
0.1
CPT0012290003
Normal
0.0
CPT0012770003
Normal
0.0
CPT0088710001
Normal
0.0
CPT0007320003
Tumor
0.0
CPT0001550001
Normal
0.0
CPT0012900004
Tumor
0.0
CPT0012570003
Normal
0.0
CPT0020020001
Normal
0.0
CPT0078940001
Normal
0.0
CPT0019160001
Normal
0.0
CPT0079230003
Tumor
0.0
CPT0086870003
Tumor
0.0
CPT0001190001
Normal
0.0
CPT0065750003
Tumor
0.0
CPT0001510001
Normal
0.0
CPT0065450001
Normal
0.0
CPT0025060001
Normal
0.0
CPT0025880003
Tumor
0.0
CPT0010110003
Tumor
0.0
CPT0014350001
Normal
N/A
CPT0086890003
Normal
0.0
CPT0013790003
Normal
0.0
CPT0026420001
Normal
0.0
CPT0089020003
Tumor
0.0
CPT0065820001
Normal
0.0
CPT0079380003
Tumor
0.0
CPT0077140001
Normal
0.0
CPT0081620001
Normal
0.0
CPT0025610001
Normal
0.0
CPT0086830003
Normal
0.0
CPT0092800003
Normal
0.0
CPT0092310003
Normal
0.0
CPT0000640003
Tumor
0.0
CPT0010160003
Tumor
0.0
CPT0063320003
Tumor
0.0
CPT0023710001
Normal
0.0
CPT0006530001
Normal
0.0
CPT0014130001
Normal
0.0
CPT0066470004
Tumor
0.0
CPT0006950001
Normal
0.0
CPT0089480003
Normal
0.0
CPT0087050003
Normal
0.0
CPT0089040001
Normal
-0.1
CPT0015730003
Tumor
-0.1
CPT0088480003
Tumor
-0.1
CPT0078840001
Normal
-0.1
CPT0025920001
Normal
-0.1
CPT0079300001
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0087040003
Tumor
-0.1
CPT0078530001
Normal
-0.1
CPT0001260009
Tumor
-0.1
CPT0088500001
Normal
-0.1
CPT0012370003
Tumor
-0.1
CPT0024670003
Tumor
-0.1
CPT0006900003
Tumor
-0.1
CPT0006630003
Tumor
-0.1
CPT0079410003
Tumor
-0.1
CPT0001230001
Normal
-0.1
CPT0066430001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0086360003
Tumor
-0.1
CPT0086370003
Normal
-0.1
CPT0065430003
Tumor
-0.1
CPT0088690003
Tumor
-0.1
CPT0012640003
Normal
-0.1
CPT0002350011
Tumor
-0.1
CPT0014370004
Tumor
-0.1
CPT0086950003
Tumor
-0.1
CPT0012550003
Tumor
-0.1
CPT0079480003
Tumor
-0.1
CPT0025580004
Tumor
-0.1
CPT0001350001
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0015810003
Tumor
-0.1
CPT0079430001
Normal
-0.1
CPT0065870003
Tumor
-0.2
CPT0079000001
Normal
-0.2
CPT0088970003
Tumor
-0.2
CPT0092740003
Normal
-0.2
CPT0064370003
Tumor
-0.2
CPT0001500009
Tumor
-0.2
CPT0088780001
Normal
-0.2
CPT0071150004
Tumor
-0.2
CPT0000780007
Tumor
-0.2
CPT0088900003
Tumor
-0.2
CPT0006730001
Normal
-0.2
CPT0086820003
Tumor
-0.2
CPT0014450004
Tumor
-0.2
CPT0079270003
Tumor
-0.2
CPT0001220008
Tumor
-0.2
CPT0078990003
Tumor
-0.2
CPT0009000003
Tumor
-0.2
CPT0000870016
Tumor
-0.2
CPT0000790001
Normal
-0.2
CPT0085670003
Tumor
-0.2
CPT0089460004
Tumor
-0.2
CPT0011410003
Tumor
-0.2
CPT0088640003
Normal
-0.2
CPT0002270011
Tumor
-0.2
CPT0065810003
Tumor
-0.3
CPT0025110003
Tumor
-0.3
CPT0001180009
Tumor
-0.3
CPT0025350003
Tumor
-0.3
CPT0077110003
Tumor
-0.3
CPT0007870001
Normal
-0.3
CPT0009060003
Tumor
-0.3
CPT0078660003
Tumor
-0.3
CPT0078930003
Tumor
-0.3
CPT0078830003
Tumor
-0.3
CPT0019130003
Tumor
-0.3
CPT0078800003
Tumor
-0.3
CPT0001540009
Tumor
-0.3
CPT0001340003
Tumor
-0.4
CPT0006440003
Tumor
-0.4
CPT0026410003
Tumor
-0.5
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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
