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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.
RPS11 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
1588.9
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4472.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3936.0
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3224.8
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3026.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2714.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2662.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2604.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2447.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2374.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2364.1
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2238.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2183.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2180.2
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2179.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2162.4
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2119.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2087.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2077.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1990.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1976.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1950.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1947.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1920.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1865.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1759.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1748.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1662.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1617.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1599.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1567.8
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
1565.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1524.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1490.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1433.4
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1402.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1400.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1332.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1250.1
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1216.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1198.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1175.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1163.5
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1158.6
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1154.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1124.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1071.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1033.7
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
992.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
985.1
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
903.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
889.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
874.9
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
834.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
792.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
783.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
756.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
617.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
598.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
504.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
442.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
370.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
363.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
333.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 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.
RPS11 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3800.1
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9667.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8626.3
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
8226.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
8143.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
8070.0
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
7607.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
7390.6
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7339.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
7061.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7022.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
7013.9
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6936.9
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
6832.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
6747.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6746.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6722.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6628.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6604.3
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
6556.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
6362.2
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6218.3
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
6205.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6152.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6110.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6102.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
6058.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
5961.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5946.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5845.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5810.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5797.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
5773.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
5771.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5719.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
5719.2
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5600.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5579.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
5575.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5537.1
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5486.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5402.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
5392.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
5392.6
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5391.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5360.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
5353.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
5341.4
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
5326.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
5289.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5283.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
5274.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5250.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5221.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5190.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5163.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5153.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
5152.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
5146.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
5124.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
5124.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5122.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
5118.5
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
5075.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5070.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
5070.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5029.4
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
5001.7
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4955.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4914.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4888.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4876.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
4860.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4851.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4838.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4835.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
4823.0
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
4807.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4792.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4762.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4759.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4714.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4692.1
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4689.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4688.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4688.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4684.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4680.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4666.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
4636.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4633.1
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
4630.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4613.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4607.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4604.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4570.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4567.3
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4565.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4559.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4556.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4551.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4550.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4550.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
4547.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4540.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4539.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4532.5
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4522.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4521.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
4516.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4505.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4498.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4496.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
4495.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4486.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
4473.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4464.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4456.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4442.3
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4435.7
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4430.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4429.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4420.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4417.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4410.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4402.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
4401.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4385.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
4372.9
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4370.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
4368.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4351.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
4349.9
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
4336.7
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4334.7
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4330.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4325.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
4317.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4314.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4302.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4291.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4288.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
4286.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4285.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4284.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
4282.2
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
4274.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4272.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
4262.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4253.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
4245.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
4245.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4240.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4234.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4232.8
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4225.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4221.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4219.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4214.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4210.5
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
4202.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4202.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4191.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4187.3
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4182.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4179.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4174.5
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
4172.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4171.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4154.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4154.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
4140.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
4131.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
4114.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4102.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4101.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4101.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
4092.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4090.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4084.9
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4074.4
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4073.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
4072.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4069.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
4059.8
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
4054.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4045.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
4038.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4036.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
4035.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4034.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4030.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4027.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4023.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4020.3
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4011.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
4008.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3996.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3993.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3988.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3986.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3983.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3980.1
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3976.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3959.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3956.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3944.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3933.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3928.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3924.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
3921.7
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3915.9
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3914.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3913.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3907.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3903.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3903.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3894.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3888.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3881.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3880.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3859.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3854.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3836.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3833.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3826.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3824.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3807.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3800.6
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3796.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3788.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3782.9
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
3774.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3758.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3757.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3757.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3750.6
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3750.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3744.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3735.3
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3733.6
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3730.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3718.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3709.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3699.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3699.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3697.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3695.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3690.7
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3687.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3683.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
3676.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3674.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3672.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3668.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3666.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3665.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3657.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3656.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3647.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3643.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3643.3
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3642.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3640.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3635.9
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3618.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3613.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3608.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3605.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3604.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3604.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3603.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3586.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3582.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3580.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3578.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3576.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3574.9
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3571.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3563.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3554.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3551.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3549.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3541.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3541.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3538.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
3536.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3532.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3528.1
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3521.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3517.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3511.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3509.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3509.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3494.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3491.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3487.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3486.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3486.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3484.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
3484.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3477.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3463.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3462.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3460.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3456.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3451.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3451.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
3447.8
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3444.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3444.4
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3440.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3439.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3438.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3433.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3429.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3414.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3405.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3404.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3397.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3395.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3393.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3386.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3377.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3375.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3371.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3370.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3370.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3366.1
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3364.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3363.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3363.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
3361.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3357.5
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3356.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3354.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3347.0
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
3344.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3338.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3334.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3329.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3320.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3311.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
3308.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3305.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3301.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3300.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3297.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
3292.6
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3291.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3286.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
3275.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
3266.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3264.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3261.4
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3258.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3255.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3254.8
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3253.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
3246.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3246.2
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3246.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
3246.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3245.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3244.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3243.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3240.5
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3240.4
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3233.4
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3225.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3222.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3219.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3206.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3204.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3202.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3201.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3200.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3185.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3177.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3166.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3164.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
3162.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3154.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3152.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3151.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3139.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3137.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3136.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3136.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3133.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3126.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3121.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3115.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3113.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3108.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3106.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3102.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3101.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
3100.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
3097.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3084.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3073.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3072.4
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
3066.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3055.7
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3050.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3043.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3040.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3030.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3022.6
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3021.5
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3011.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3010.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2993.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2968.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2958.5
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2950.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2950.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2938.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2918.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2918.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2916.3
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2908.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2906.5
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2896.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2885.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2861.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2846.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2834.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2833.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2824.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2808.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2769.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2769.0
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2766.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2765.7
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2760.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2752.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2739.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2727.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2716.4
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2705.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2699.9
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2688.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2687.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2686.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2668.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2658.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2658.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2650.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2649.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2637.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2631.7
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2622.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2619.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2617.4
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2611.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2610.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2608.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2606.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2601.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2596.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2580.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2557.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2556.5
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2544.8
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2531.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2520.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2514.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2508.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2465.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2460.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2454.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2435.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2433.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2422.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2416.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2405.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2399.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2373.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2348.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
2347.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2341.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2340.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2333.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2316.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2305.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2288.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2288.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2278.5
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2267.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2251.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2241.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2234.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2232.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2213.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2199.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2181.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2143.4
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2123.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2107.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2013.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1882.0
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1814.4
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1793.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1791.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1772.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1741.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1724.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1714.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1712.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1665.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1641.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1559.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1558.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1551.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1475.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1288.6
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1201.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
940.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
695.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 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.
RPS11 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
3108.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
6366.1
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
6228.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5192.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5176.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4905.7
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4552.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4484.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4332.7
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4332.0
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4293.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4280.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4149.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4053.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4052.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3971.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3806.2
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3771.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3734.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3645.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3639.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3620.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3603.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3567.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3508.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3457.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3377.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3375.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3354.1
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3312.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3305.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3301.8
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3273.6
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3247.7
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3228.6
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3201.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3194.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3186.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3185.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3130.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3102.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3094.5
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3064.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3062.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3042.2
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3032.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3012.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3010.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2992.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2989.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2988.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2974.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2970.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2958.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2924.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2917.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2898.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2892.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2892.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2875.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2867.2
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2865.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2857.8
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2847.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2845.8
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2820.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2756.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2755.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2742.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2738.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2737.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2734.1
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2710.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2692.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2662.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2653.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2632.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2615.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2568.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2549.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2535.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2535.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2476.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2430.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2410.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2335.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2287.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2286.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2263.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2236.2
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2211.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2167.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2124.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2124.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2106.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2042.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1859.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1837.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1474.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1239.0
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.
RPS11 is potential prognostic, high expression is unfavorable 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
2406.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
7338.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6673.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6283.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5866.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5797.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5530.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5170.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4952.1
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4681.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4661.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4643.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4612.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4535.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4442.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4437.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4436.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4414.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4293.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4260.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4220.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4183.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4116.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4115.0
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4093.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4014.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3972.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3956.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3947.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3945.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3945.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3822.1
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3812.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3809.5
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3774.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3766.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3747.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3718.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
3702.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3697.8
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3687.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3649.5
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3610.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3608.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3590.5
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3537.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3521.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3491.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3469.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3460.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3436.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3408.6
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3389.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3375.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3336.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3325.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3319.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3313.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3307.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3295.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3289.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3273.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3271.1
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3261.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3253.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3236.2
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3222.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3191.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3165.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3143.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3120.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3113.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3108.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3092.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3087.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3081.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
3079.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3071.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3065.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3055.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3040.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3029.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3025.1
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3013.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3007.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2985.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2971.3
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2941.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2940.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2931.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2912.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2910.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2899.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2896.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2896.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2894.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2886.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2878.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2833.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2826.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2804.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2794.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2779.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2757.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2750.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2746.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2737.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2716.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2705.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2697.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2684.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2671.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2666.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2663.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2655.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2646.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2643.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2633.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2618.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2611.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2608.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2607.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2601.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2589.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2585.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2576.8
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2574.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2573.6
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2566.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2564.8
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2561.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2543.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2543.0
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2532.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2532.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2532.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2526.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2483.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2482.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2476.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2464.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2459.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2457.4
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2434.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2427.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2422.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2410.9
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2406.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2402.3
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2398.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2391.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2384.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2382.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2367.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2341.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2329.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2318.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2302.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2300.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2291.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2282.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2249.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2247.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2231.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2215.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2205.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2200.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2192.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2190.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2144.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2125.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2120.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2113.7
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2107.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2085.4
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
2081.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2078.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2073.8
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2066.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2057.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2050.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2028.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2021.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2016.9
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2008.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2006.9
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1987.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1983.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1978.0
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1959.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1914.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1913.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1904.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1893.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1860.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1860.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1851.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1849.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1838.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1831.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1800.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1738.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1725.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1723.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1717.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1715.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1695.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1672.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1634.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1630.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1604.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1586.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1564.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1548.9
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1531.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1523.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1516.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1500.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1444.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1402.9
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1375.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1362.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1322.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1307.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1250.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1249.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1238.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1225.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1175.5
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1141.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1136.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1116.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1103.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1094.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1052.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
999.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
996.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
967.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
938.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
928.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
868.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
851.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
833.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
831.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
824.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
812.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
777.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
767.4
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
753.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
749.1
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
688.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
670.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
641.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
629.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
608.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
598.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
588.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
570.1
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
563.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
558.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
555.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
534.5
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
508.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
482.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
462.9
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
455.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
451.9
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
440.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
434.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
398.4
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
362.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
353.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
352.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
330.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
310.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
292.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
284.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
276.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
207.2
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
193.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
191.2
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
188.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0017850003
Tumor
0.9
CPT0001340003
Tumor
0.8
CPT0023350003
Tumor
0.8
CPT0012550003
Tumor
0.7
CPT0088550004
Tumor
0.7
CPT0079410003
Tumor
0.6
CPT0002350011
Tumor
0.6
CPT0009000003
Tumor
0.6
CPT0011410003
Tumor
0.6
CPT0065430003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0086950003
Tumor
0.5
CPT0001260009
Tumor
0.5
CPT0012180003
Tumor
0.5
CPT0084560003
Tumor
0.4
CPT0077490003
Tumor
0.4
CPT0010160003
Tumor
0.4
CPT0075130003
Tumor
0.4
CPT0077320001
Normal
0.4
CPT0086820003
Tumor
0.4
CPT0088760003
Tumor
0.4
CPT0092730003
Tumor
0.4
CPT0071150004
Tumor
0.3
CPT0000640003
Tumor
0.3
CPT0001270001
Normal
0.3
CPT0014450004
Tumor
0.3
CPT0025050003
Tumor
0.3
CPT0081600003
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0085670003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0079480003
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0081990003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0001540009
Tumor
0.2
CPT0088690003
Tumor
0.2
CPT0025110003
Tumor
0.2
CPT0010120001
Normal
0.2
CPT0010110003
Tumor
0.2
CPT0088900003
Tumor
0.2
CPT0088970003
Tumor
0.2
CPT0079230003
Tumor
0.2
CPT0086870003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0092740003
Normal
0.2
CPT0069000003
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0077110003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0088570001
Normal
0.2
CPT0069190001
Normal
0.2
CPT0088480003
Tumor
0.2
CPT0076350001
Normal
0.2
CPT0012280003
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0078800003
Tumor
0.2
CPT0012670003
Tumor
0.2
CPT0075570001
Normal
0.2
CPT0089020003
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0088630003
Tumor
0.1
CPT0014370004
Tumor
0.1
CPT0081880003
Tumor
0.1
CPT0025350003
Tumor
0.1
CPT0063630003
Tumor
0.1
CPT0021240003
Tumor
0.1
CPT0086030003
Tumor
0.1
CPT0079270003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0001220008
Tumor
0.1
CPT0015730003
Tumor
0.1
CPT0092800003
Normal
0.1
CPT0078830003
Tumor
0.1
CPT0024670003
Tumor
0.1
CPT0079510001
Normal
0.1
CPT0078990003
Tumor
0.1
CPT0025060001
Normal
0.1
CPT0092190003
Normal
0.1
CPT0075720003
Tumor
0.0
CPT0077500001
Normal
0.0
CPT0086830003
Normal
0.0
CPT0082010001
Normal
0.0
CPT0002270011
Tumor
0.0
CPT0014130001
Normal
0.0
CPT0089480003
Normal
0.0
CPT0025170003
Tumor
0.0
CPT0012920003
Normal
0.0
CPT0019990003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0020130001
Normal
0.0
CPT0086970003
Normal
0.0
CPT0088920001
Normal
0.0
CPT0001190001
Normal
0.0
CPT0089040001
Normal
0.0
CPT0011240003
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0079380003
Tumor
0.0
CPT0006630003
Tumor
0.0
CPT0088640003
Normal
0.0
CPT0077140001
Normal
0.0
CPT0017410003
Tumor
0.0
CPT0006440003
Tumor
-0.1
CPT0017450001
Normal
-0.1
CPT0012900004
Tumor
-0.1
CPT0020020001
Normal
-0.1
CPT0065930003
Tumor
-0.1
CPT0092160003
Tumor
-0.1
CPT0006730001
Normal
-0.1
CPT0006530001
Normal
-0.1
CPT0088780001
Normal
-0.1
CPT0007470001
Normal
-0.1
CPT0000780007
Tumor
-0.1
CPT0092290003
Tumor
-0.1
CPT0001350001
Normal
-0.1
CPT0015810003
Tumor
-0.1
CPT0089460004
Tumor
-0.1
CPT0069010001
Normal
-0.1
CPT0066470004
Tumor
-0.1
CPT0087040003
Tumor
-0.1
CPT0081620001
Normal
-0.1
CPT0025610001
Normal
-0.1
CPT0013790003
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0077310003
Tumor
-0.1
CPT0079300001
Normal
-0.1
CPT0023360001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0086890003
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0020120003
Tumor
-0.1
CPT0009060003
Tumor
-0.1
CPT0087050003
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0086370003
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0066520001
Normal
-0.2
CPT0019160001
Normal
-0.2
CPT0063640001
Normal
-0.2
CPT0018250001
Normal
-0.2
CPT0012570003
Normal
-0.2
CPT0000870016
Tumor
-0.2
CPT0012090003
Normal
-0.2
CPT0078670001
Normal
-0.2
CPT0065820001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0092310003
Normal
-0.2
CPT0007870001
Normal
-0.2
CPT0006950001
Normal
-0.2
CPT0066480003
Tumor
-0.2
CPT0014350001
Normal
-0.2
CPT0078940001
Normal
-0.2
CPT0075560003
Tumor
-0.2
CPT0014470001
Normal
-0.2
CPT0025580004
Tumor
-0.2
CPT0006900003
Tumor
-0.2
CPT0025290003
Tumor
-0.2
CPT0009020003
Normal
-0.2
CPT0078930003
Tumor
-0.2
CPT0064370003
Tumor
-0.2
CPT0010170001
Normal
-0.2
CPT0078660003
Tumor
-0.2
CPT0063330001
Normal
-0.2
CPT0066430001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0012640003
Normal
-0.3
CPT0024680001
Normal
-0.3
CPT0026420001
Normal
-0.3
CPT0023690003
Tumor
-0.3
CPT0001510001
Normal
-0.3
CPT0001500009
Tumor
-0.3
CPT0065450001
Normal
-0.3
CPT0063320003
Tumor
-0.3
CPT0065750003
Tumor
-0.3
CPT0088710001
Normal
-0.3
CPT0000660001
Normal
-0.3
CPT0078510003
Tumor
-0.3
CPT0064400001
Normal
-0.3
CPT0000790001
Normal
-0.3
CPT0023710001
Normal
-0.3
CPT0086360003
Tumor
-0.3
CPT0015910003
Tumor
-0.4
CPT0007860003
Tumor
-0.4
CPT0025920001
Normal
-0.4
CPT0079430001
Normal
-0.4
CPT0001230001
Normal
-0.4
CPT0001550001
Normal
-0.4
CPT0009080003
Normal
-0.4
CPT0014160003
Tumor
-0.5
CPT0012770003
Normal
-0.5
CPT0065810003
Tumor
-0.5
CPT0079180003
Tumor
-1.1
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
