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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.
RPS24 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
1221.0
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
10688.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2714.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2687.7
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2031.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
2017.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1866.7
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1786.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1720.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1709.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1576.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1502.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1475.5
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1474.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1404.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1398.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1380.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1377.7
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1377.0
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1352.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1222.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1216.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1214.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1175.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1164.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1134.9
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1133.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1116.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1104.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1095.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1094.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1093.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1080.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1064.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1058.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1051.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1041.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1026.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1011.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
963.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
939.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
917.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
843.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
815.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
744.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
735.6
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
709.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
628.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
614.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
610.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
607.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
599.7
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
592.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
553.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
552.4
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
536.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
503.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
465.1
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
457.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
401.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
381.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
372.6
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
340.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
336.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 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.
RPS24 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
3171.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
8994.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
8664.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
7346.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
6987.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
6773.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
6510.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6473.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6445.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
6102.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6091.5
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6044.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5970.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5775.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5743.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
5483.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5463.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5435.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5342.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5277.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5225.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5208.8
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5195.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5192.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5154.7
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
5114.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5106.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5098.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5084.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5031.8
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4956.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4942.2
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
4938.5
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4885.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4850.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4824.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4771.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4761.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4759.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4747.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
4730.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
4722.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4709.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4707.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4705.3
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4693.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4689.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4673.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4618.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4610.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4605.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4599.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
4598.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
4596.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4576.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4557.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4510.7
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4500.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4477.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4474.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
4431.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4415.5
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4400.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4373.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4325.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4316.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4295.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4293.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
4293.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4280.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4275.1
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4263.2
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
4256.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4246.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4239.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4230.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
4224.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4215.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
4194.9
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4189.2
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4172.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4147.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
4132.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4128.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4102.1
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4065.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4046.3
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4035.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4029.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4019.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4013.9
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4005.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3998.1
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3964.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3947.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3943.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3939.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3937.8
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3924.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3903.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3900.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3899.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3899.0
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3891.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3887.0
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3886.7
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3885.8
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3884.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3879.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3878.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3871.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3870.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3862.1
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3861.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3858.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3850.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3844.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3838.6
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3833.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3831.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3829.7
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3809.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3784.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3783.3
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3777.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3776.9
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3772.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3768.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3753.1
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3752.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3748.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3744.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3738.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3732.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3730.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3711.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3708.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3701.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3694.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3692.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3687.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3677.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3669.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3662.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3647.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3631.3
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3620.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3616.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3607.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3600.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3594.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3594.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3594.5
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3585.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3581.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3570.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3566.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3548.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3547.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3540.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3536.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3531.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3528.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3514.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3511.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3479.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3479.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3475.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3475.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3473.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
3472.2
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3463.6
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3449.8
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3435.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3434.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3426.0
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3420.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3417.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3400.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3370.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
3368.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3360.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3357.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3354.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3341.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3340.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3338.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3328.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3327.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3327.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3321.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3320.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3317.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3314.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3309.2
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3304.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3302.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3298.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3297.5
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3286.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3277.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3255.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3250.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3250.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3246.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3240.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3235.1
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3234.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3230.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3229.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3229.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3227.8
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3226.9
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3222.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3218.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3217.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3214.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3211.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3211.8
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3210.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3206.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3202.2
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3195.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3174.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3171.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3171.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3169.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3166.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3164.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3156.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3155.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3155.6
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3151.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3141.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3137.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3137.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3136.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3135.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3133.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3127.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3126.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3116.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3104.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3101.7
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3098.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3090.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3089.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3088.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3086.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3083.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3080.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3080.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3073.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3069.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3068.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3064.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3049.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
3048.3
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3042.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3041.9
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3041.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3040.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3040.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3038.9
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3034.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3027.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3025.8
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3025.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3022.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3015.9
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3005.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3004.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2992.3
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2990.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2982.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2977.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2977.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2975.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2971.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2970.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2966.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2961.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2955.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2953.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2950.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2948.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2941.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2939.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2937.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2936.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2935.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2932.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2931.7
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2930.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2926.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2919.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2913.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2912.2
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2906.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2900.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2899.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2893.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2888.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2880.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2875.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2866.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2861.0
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2860.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2855.6
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2854.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2850.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2843.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2837.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2831.8
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
2831.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2825.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2817.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2807.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2807.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2799.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2793.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2783.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2781.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2778.4
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2775.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2770.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2760.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2755.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2749.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2730.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2729.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2728.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2719.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2718.2
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2713.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2711.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2709.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2708.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2708.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2702.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2698.6
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2695.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2688.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2685.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2684.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2683.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2682.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2679.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2675.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2667.8
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2663.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2662.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2659.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2658.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2651.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2647.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2645.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2645.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2630.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2623.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2618.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2616.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2616.7
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2607.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2601.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2593.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2591.1
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2589.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2583.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2581.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2578.2
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2576.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2565.2
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2564.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2564.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2561.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2552.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2549.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2549.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2546.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2543.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2543.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2535.2
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2522.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2519.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2515.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2513.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2512.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2506.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2503.1
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2502.9
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2501.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2488.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2479.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2470.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2464.8
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2464.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2464.1
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2455.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2455.4
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2447.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2439.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
2428.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2423.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2423.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2420.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2408.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2407.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2391.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2366.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2358.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2350.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2350.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2337.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2336.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2334.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2332.9
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2332.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2323.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2320.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2319.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2309.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2308.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2306.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2297.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2295.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2287.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2268.2
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2266.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2264.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2247.4
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2233.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2229.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2224.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2223.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2219.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2215.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2204.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
2189.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2183.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2181.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2179.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2167.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2162.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
2156.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2156.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2146.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2140.2
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2129.9
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2129.2
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2125.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2123.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2117.0
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2107.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2085.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2083.9
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2082.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2081.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2079.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2062.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2045.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2044.6
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2035.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2024.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2022.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2014.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2011.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2006.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1979.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1979.0
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1960.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1955.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1952.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1945.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1942.0
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1938.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1937.7
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1933.5
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1927.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1925.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1916.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1908.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1894.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1878.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1873.6
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1843.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1832.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1831.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1794.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1772.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1739.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1736.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1715.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1686.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1683.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1676.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1674.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1660.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1630.8
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1622.0
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1589.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1523.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1503.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1500.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1460.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1392.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1363.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1355.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1321.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1297.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1270.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1254.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1230.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1192.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1154.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1150.6
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1103.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1048.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
982.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
981.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
952.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 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.
RPS24 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
2941.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
7234.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5308.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5295.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
5186.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4849.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
4817.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
4812.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4766.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4737.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4546.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4478.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4276.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4193.9
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4189.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4106.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4067.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3989.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3924.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3867.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3695.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3694.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3643.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3642.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3586.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3460.2
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3345.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3315.8
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3312.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3247.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3232.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3195.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3180.4
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3172.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3158.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3141.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3039.8
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3014.3
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2994.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2966.8
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2939.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2936.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2921.9
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2913.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2909.9
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2857.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2829.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2799.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2733.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2725.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2679.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2668.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2665.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2637.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2631.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2586.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2582.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2538.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2522.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2518.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2503.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2498.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2491.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2486.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2459.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2438.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2417.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2415.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2384.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2336.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2320.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2288.6
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2241.0
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2237.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2232.3
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2223.9
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2220.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2216.5
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2197.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2191.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2184.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2131.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2128.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2103.1
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1989.8
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1974.9
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1966.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1935.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1924.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1853.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1840.6
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1826.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1797.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1770.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1711.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1682.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1620.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1527.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1518.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1476.7
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.
RPS24 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
2266.2
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
8050.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
7814.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5715.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5671.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5325.7
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5288.4
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
5108.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4841.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4830.5
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
4687.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4361.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4276.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4261.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4251.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4175.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4144.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4090.6
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4078.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4074.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
4065.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4032.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4006.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3907.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3884.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3792.2
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3777.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3773.7
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3668.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3637.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3619.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3619.0
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3612.7
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3581.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3578.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3567.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3561.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3526.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3508.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3481.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3460.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3456.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
3454.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3426.5
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
3407.2
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3359.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3351.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3337.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3330.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3220.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3211.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3176.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3140.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
3120.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3118.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3113.9
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3101.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3097.8
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3076.4
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3057.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3053.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3050.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3036.2
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
3021.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2998.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2954.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2952.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2941.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2936.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2918.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2917.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2898.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2895.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2895.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2890.6
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2865.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2859.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2857.2
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2815.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2815.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2813.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2809.5
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2804.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2802.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2799.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
2788.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2787.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2771.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2766.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2747.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2736.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2733.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2728.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2723.2
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2700.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2697.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2673.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2660.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2654.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2633.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2618.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2615.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2612.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2609.3
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
2609.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2588.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2563.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2561.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2556.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2552.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2530.3
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2515.0
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2485.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2477.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2475.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2457.9
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2439.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2437.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2397.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2395.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2380.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2370.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2369.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2367.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2361.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2352.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2322.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2317.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2316.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2309.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2308.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2299.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2297.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2297.8
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2283.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2280.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2272.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2264.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2245.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2241.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2221.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2214.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2210.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2189.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2188.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2182.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2160.5
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2129.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2124.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2123.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2119.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
2110.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2098.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2095.0
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2083.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2075.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2059.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2049.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2042.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2011.9
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1994.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1981.3
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1969.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1963.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1961.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1926.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1908.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1906.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1899.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1890.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1888.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1886.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1885.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1877.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1875.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1871.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1860.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1859.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1844.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1843.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1823.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1787.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1787.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1766.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1763.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1755.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1751.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1745.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1743.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1726.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1720.0
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1711.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1648.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1637.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1616.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1595.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1594.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1584.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1580.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1571.8
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1551.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1549.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1545.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1523.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1521.0
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1508.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1497.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1480.9
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1473.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1439.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1435.4
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1402.3
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1394.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1391.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1387.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1387.2
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1370.6
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1283.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1277.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1268.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1262.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1246.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1223.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1194.0
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1191.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1174.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1174.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1142.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1135.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1110.5
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1100.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1082.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1045.9
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1026.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
996.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
979.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
970.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
970.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
966.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
960.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
947.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
904.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
904.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
854.8
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
845.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
844.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
842.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
835.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
831.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
829.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
817.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
807.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
792.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
783.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
783.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
776.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
768.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
764.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
755.7
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
751.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
750.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
746.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
686.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
674.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
670.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
663.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
662.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
654.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
617.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
617.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
608.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
605.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
591.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
578.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
546.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
527.3
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
494.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
472.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
470.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
419.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
404.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
330.2
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
270.9
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.1
CPT0012550003
Tumor
1.0
CPT0002350011
Tumor
0.9
CPT0001340003
Tumor
0.9
CPT0086030003
Tumor
0.8
CPT0065930003
Tumor
0.8
CPT0065750003
Tumor
0.8
CPT0081880003
Tumor
0.8
CPT0012180003
Tumor
0.7
CPT0066470004
Tumor
0.7
CPT0017850003
Tumor
0.6
CPT0023350003
Tumor
0.6
CPT0076330003
Tumor
0.6
CPT0015730003
Tumor
0.6
CPT0063630003
Tumor
0.6
CPT0088690003
Tumor
0.6
CPT0069160003
Tumor
0.6
CPT0011410003
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0084560003
Tumor
0.6
CPT0079380003
Tumor
0.5
CPT0086950003
Tumor
0.5
CPT0012670003
Tumor
0.5
CPT0075130003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0015810003
Tumor
0.5
CPT0089460004
Tumor
0.5
CPT0065430003
Tumor
0.5
CPT0024670003
Tumor
0.5
CPT0079410003
Tumor
0.5
CPT0019990003
Tumor
0.5
CPT0002270011
Tumor
0.5
CPT0092730003
Tumor
0.5
CPT0088970003
Tumor
0.5
CPT0024680001
Normal
0.4
CPT0001500009
Tumor
0.4
CPT0025170003
Tumor
0.4
CPT0012280003
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0012080003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0089020003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0025880003
Tumor
0.4
CPT0010160003
Tumor
0.4
CPT0025050003
Tumor
0.4
CPT0025230003
Tumor
0.4
CPT0079180003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0020120003
Tumor
0.3
CPT0001540009
Tumor
0.3
CPT0077110003
Tumor
0.3
CPT0023690003
Tumor
0.3
CPT0078510003
Tumor
0.3
CPT0077310003
Tumor
0.3
CPT0001260009
Tumor
0.3
CPT0078800003
Tumor
0.3
CPT0081600003
Tumor
0.3
CPT0010110003
Tumor
0.3
CPT0001220008
Tumor
0.2
CPT0088760003
Tumor
0.2
CPT0011240003
Tumor
0.2
CPT0092790003
Tumor
0.2
CPT0078990003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0075560003
Tumor
0.2
CPT0069000003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0006630003
Tumor
0.2
CPT0078930003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0085670003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0078660003
Tumor
0.1
CPT0065810003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0079480003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0084590001
Normal
0.1
CPT0006900003
Tumor
0.1
CPT0001180009
Tumor
0.1
CPT0025580004
Tumor
0.1
CPT0000780007
Tumor
0.1
CPT0078830003
Tumor
0.1
CPT0065690003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0012370003
Tumor
0.0
CPT0086820003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0064370003
Tumor
0.0
CPT0079270003
Tumor
0.0
CPT0017410003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0025110003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0087040003
Tumor
0.0
CPT0014160003
Tumor
0.0
CPT0081990003
Tumor
0.0
CPT0006440003
Tumor
0.0
CPT0069010001
Normal
0.0
CPT0000870016
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0077320001
Normal
0.0
CPT0066480003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0020130001
Normal
-0.1
CPT0014370004
Tumor
-0.1
CPT0025350003
Tumor
-0.1
CPT0012570003
Normal
-0.1
CPT0082010001
Normal
-0.1
CPT0079230003
Tumor
-0.1
CPT0075170001
Normal
-0.1
CPT0012640003
Normal
-0.1
CPT0007860003
Tumor
-0.2
CPT0009060003
Tumor
-0.2
CPT0014470001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0089040001
Normal
-0.2
CPT0010120001
Normal
-0.2
CPT0069190001
Normal
-0.2
CPT0066430001
Normal
-0.2
CPT0087050003
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0025060001
Normal
-0.2
CPT0013790003
Normal
-0.2
CPT0018250001
Normal
-0.2
CPT0088780001
Normal
-0.2
CPT0020020001
Normal
-0.2
CPT0086890003
Normal
-0.2
CPT0075720003
Tumor
-0.2
CPT0077140001
Normal
-0.3
CPT0001190001
Normal
-0.3
CPT0000640003
Tumor
-0.3
CPT0086970003
Normal
-0.3
CPT0088920001
Normal
-0.3
CPT0006950001
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0086870003
Tumor
-0.3
CPT0088570001
Normal
-0.3
CPT0066520001
Normal
-0.3
CPT0064400001
Normal
-0.3
CPT0078840001
Normal
-0.3
CPT0075570001
Normal
-0.3
CPT0077500001
Normal
-0.3
CPT0014130001
Normal
-0.3
CPT0023710001
Normal
-0.3
CPT0079300001
Normal
-0.3
CPT0009020003
Normal
-0.3
CPT0025610001
Normal
-0.3
CPT0023360001
Normal
-0.3
CPT0092310003
Normal
-0.4
CPT0092800003
Normal
-0.4
CPT0002370001
Normal
-0.4
CPT0012920003
Normal
-0.4
CPT0006530001
Normal
-0.4
CPT0065450001
Normal
-0.4
CPT0007470001
Normal
-0.4
CPT0078530001
Normal
-0.4
CPT0081620001
Normal
-0.4
CPT0001550001
Normal
-0.4
CPT0019160001
Normal
-0.4
CPT0063640001
Normal
-0.4
CPT0010170001
Normal
-0.4
CPT0088640003
Normal
-0.4
CPT0086830003
Normal
-0.4
CPT0089480003
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0001350001
Normal
-0.4
CPT0000660001
Normal
-0.4
CPT0065820001
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0063330001
Normal
-0.5
CPT0078670001
Normal
-0.5
CPT0012290003
Normal
-0.5
CPT0078940001
Normal
-0.5
CPT0092740003
Normal
-0.5
CPT0088710001
Normal
-0.5
CPT0017450001
Normal
-0.5
CPT0001510001
Normal
-0.5
CPT0012770003
Normal
-0.5
CPT0088500001
Normal
-0.5
CPT0009080003
Normal
-0.5
CPT0001230001
Normal
-0.5
CPT0026420001
Normal
-0.6
CPT0086370003
Normal
-0.6
CPT0014350001
Normal
-0.6
CPT0000890001
Normal
-0.6
CPT0079000001
Normal
-0.6
CPT0006730001
Normal
-0.6
CPT0025920001
Normal
-0.6
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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
