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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.
RPS27 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
1197.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
9954.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
4255.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3029.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2348.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2169.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1991.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1941.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1832.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1822.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1800.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1779.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1747.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1732.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1707.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1679.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1656.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1625.5
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1617.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1606.9
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1589.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1528.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1451.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1437.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1431.9
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1421.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1410.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1381.1
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1376.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1328.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1310.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1305.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1276.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1231.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1219.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1211.6
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1202.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1193.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1079.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1040.8
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1002.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
975.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
826.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
138.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
106.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
106.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
105.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
79.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
77.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
76.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
65.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
64.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
63.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
43.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
38.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
36.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
34.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
32.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
31.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
16.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
0.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
0.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
0.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
0.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS27 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
5247.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
17078.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
16139.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
15992.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
13709.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
13233.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
13180.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
12612.6
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
12022.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
11519.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
11376.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
10726.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
10649.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
10524.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
10111.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
9925.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
9844.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
9493.9
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
9394.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
9302.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8774.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
8661.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
8588.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
8579.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
8552.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
8547.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
8491.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
8441.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
8429.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
8364.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
8333.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
8321.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8260.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
8222.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
8067.9
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
7990.1
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
7990.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
7977.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7892.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
7888.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
7867.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
7815.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7811.5
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
7801.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
7786.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
7737.1
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
7737.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7729.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7664.9
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
7652.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
7564.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
7561.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
7498.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
7488.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
7443.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
7432.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
7425.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7401.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
7381.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
7337.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7307.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7297.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
7238.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
7222.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
7217.1
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7212.7
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
7207.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
7206.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
7176.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
7167.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7133.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
7099.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
7082.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
7043.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
7014.4
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
7005.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
6971.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
6967.9
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
6960.8
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
6935.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6922.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
6921.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6920.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
6909.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
6887.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6882.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6875.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
6843.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
6827.5
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6808.5
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
6795.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
6751.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
6747.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
6732.2
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6730.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
6717.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
6696.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
6684.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
6671.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6653.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
6634.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
6634.5
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
6620.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
6617.9
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
6604.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6600.3
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
6593.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
6582.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
6571.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6541.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
6539.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
6525.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
6506.4
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
6506.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
6501.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
6498.9
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
6493.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6493.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
6483.5
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
6483.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
6480.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
6475.3
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6472.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
6460.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
6458.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6412.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
6399.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6379.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
6372.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
6369.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
6329.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
6283.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
6268.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6261.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
6230.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
6225.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
6224.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
6219.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6194.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
6179.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
6169.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6146.6
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
6140.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
6133.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
6118.5
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6109.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
6101.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
6091.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6083.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6076.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6076.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6076.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6066.3
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6062.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6060.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6059.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
6056.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
6051.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
6047.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
6026.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
6022.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
6011.6
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5996.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
5993.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
5993.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
5987.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
5963.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5937.7
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5929.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5922.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5910.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
5893.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
5885.2
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
5882.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
5882.4
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5880.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
5870.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5846.8
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5845.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5820.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5814.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5810.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5783.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
5781.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
5777.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5758.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5753.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
5750.2
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5749.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5731.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
5712.0
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
5699.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5677.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5655.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
5653.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5650.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5647.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
5646.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5638.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5630.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
5620.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
5605.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
5600.2
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5593.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
5593.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
5571.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5543.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5519.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5510.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
5505.4
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
5480.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5463.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
5450.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5437.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
5418.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
5396.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
5377.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
5377.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
5341.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
5337.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5332.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
5331.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5317.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
5311.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5301.2
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5300.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
5298.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5286.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5279.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
5271.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5266.2
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
5262.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5259.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
5256.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
5252.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
5250.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
5248.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
5248.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
5237.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
5217.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
5217.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
5209.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
5176.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5173.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5168.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
5167.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
5142.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
5133.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5129.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5129.6
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
5128.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
5124.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5108.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
5105.5
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5096.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
5093.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
5091.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5075.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
5073.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
5063.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5045.6
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5043.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5040.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
5037.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
5034.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5030.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
5009.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5001.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4982.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
4979.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
4972.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
4970.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4960.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
4952.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
4948.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4948.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4943.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4941.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4932.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4912.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4906.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4906.7
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
4904.7
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
4901.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4895.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
4892.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4887.0
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4887.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4868.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4846.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4844.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
4839.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4831.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
4826.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4808.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4803.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4795.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
4788.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4749.9
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4748.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
4736.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4734.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4729.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4726.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4723.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
4712.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4710.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4693.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
4688.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4679.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4669.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4667.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4666.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4658.9
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4657.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4637.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
4629.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4621.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4618.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
4582.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
4575.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
4561.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
4558.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4543.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
4541.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4540.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
4520.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
4519.8
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4509.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
4508.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4498.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4497.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4487.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4482.0
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
4476.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4460.4
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4452.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4437.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
4432.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4425.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
4424.9
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
4422.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4414.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
4410.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4398.7
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4397.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4395.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4387.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4378.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
4375.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4374.6
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4372.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
4346.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4334.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4289.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4287.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4280.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
4264.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4264.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
4249.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
4239.6
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
4238.8
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4232.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
4230.1
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
4218.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4212.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4203.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
4198.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
4195.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4188.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
4188.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4182.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
4177.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
4155.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4148.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4134.3
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
4128.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
4123.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4107.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4095.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4087.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
4086.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4083.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4047.9
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4035.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4009.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3993.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3972.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3961.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3950.0
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3948.1
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3932.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3932.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3897.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3852.1
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3848.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3828.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
3822.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3811.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3794.3
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3790.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3788.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
3757.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3746.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3733.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3725.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3721.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3712.3
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
3706.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3695.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
3687.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
3687.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
3664.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3648.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3631.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3623.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3606.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3599.4
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
3568.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
3567.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3560.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
3553.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3551.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
3546.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3542.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3538.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3512.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3505.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3458.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3439.4
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3426.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3419.8
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3416.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3385.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3374.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3372.3
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3356.4
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
3354.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3352.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3340.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3300.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
3296.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3294.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3291.1
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3263.3
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3251.1
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3247.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3236.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3222.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3219.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3212.0
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3198.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3192.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3131.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3124.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
3109.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3095.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
3095.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3084.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3056.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
3056.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3046.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3009.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
3004.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2969.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2962.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2957.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2956.0
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2941.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2899.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2889.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2868.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2845.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2824.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2821.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2780.2
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2742.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2726.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2721.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2711.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2708.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2705.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2640.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2636.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2636.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2636.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2624.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2596.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2485.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2459.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
2440.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2388.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2376.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2318.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2308.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2261.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2256.8
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2217.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2188.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2182.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2152.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2132.8
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2088.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2003.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1966.4
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1925.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1920.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1861.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1801.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1746.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1676.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1660.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1583.5
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1579.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1569.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1508.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1492.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1437.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1333.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1309.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1193.8
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 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.
RPS27 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
4932.7
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
10835.0
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
10266.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
9821.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
8488.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
7978.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7929.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
7520.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7423.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
7399.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
7025.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
7018.0
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
6941.4
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6909.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
6733.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
6660.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6591.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6587.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
6312.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6281.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6119.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5969.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
5881.1
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
5850.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
5751.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5640.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
5637.2
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
5626.6
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5598.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
5540.0
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5529.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
5491.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
5446.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5336.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5306.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
5246.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5245.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
5235.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
5200.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
5091.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
5038.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
5011.0
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
5005.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
4859.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
4846.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
4778.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4761.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4739.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4732.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
4674.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4617.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4557.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
4557.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
4474.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
4427.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4413.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4396.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4375.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4312.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4310.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
4300.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
4287.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4253.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
4200.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4189.5
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4179.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4174.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
4161.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
4161.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4154.8
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4131.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
4087.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
4028.0
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
4015.3
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
4011.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3946.3
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3940.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3871.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3824.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3819.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3796.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
3692.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3687.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3671.7
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3614.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
3569.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
3440.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3439.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
3371.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3362.7
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3337.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3331.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3308.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
3071.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2918.4
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2911.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2522.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2336.5
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1567.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1373.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 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.
RPS27 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
2670.4
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
13029.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
12125.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
9388.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
9219.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8156.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
7856.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7190.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
6734.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
6545.1
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
6150.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6028.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
5760.6
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5579.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5494.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
5462.8
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
5432.4
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5380.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5361.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5359.7
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
5333.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5236.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
5234.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
5165.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5137.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
5117.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5057.4
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
5052.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
4999.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4984.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
4831.8
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4815.5
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4791.7
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4750.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4744.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4687.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
4584.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4565.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
4560.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4554.9
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4548.8
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4532.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4526.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
4515.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4461.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4450.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4408.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
4361.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
4317.1
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4281.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4251.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4238.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
4177.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4146.0
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4134.9
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4122.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
4113.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4059.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4039.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4038.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
4033.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4005.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3996.9
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3947.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3917.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3915.9
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3910.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3908.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3903.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3902.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3858.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3849.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3825.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
3812.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3784.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3783.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3771.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
3732.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3728.1
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3692.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3658.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3649.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3646.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3614.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3608.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3604.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
3584.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3570.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3558.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3544.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3516.1
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3490.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
3481.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3442.4
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3439.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
3431.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3424.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
3414.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
3411.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
3402.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3387.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3387.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3375.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3326.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
3309.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
3295.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
3284.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3254.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3246.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
3241.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3234.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
3220.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3217.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3200.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3187.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3168.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3161.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3157.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3133.5
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3126.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
3104.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
3102.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3086.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
3086.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
3052.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
3047.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3043.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
3026.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2984.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2979.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2976.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2962.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2951.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2938.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2931.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2922.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2902.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2889.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2882.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2846.3
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2823.1
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2802.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2784.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2780.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2741.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2739.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2735.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2662.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2660.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2644.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2642.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2641.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2619.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2608.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2571.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2570.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2544.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2522.4
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2510.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2489.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2453.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2453.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2450.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2433.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2424.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2424.5
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2420.2
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2415.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2376.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2369.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2367.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2364.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2316.2
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
2280.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2257.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2250.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
2227.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2214.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2175.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2167.8
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
2137.8
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2135.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2126.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2120.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2095.3
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2031.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2005.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2002.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1948.2
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1922.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1906.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1881.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1848.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1844.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1838.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1823.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1812.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1808.4
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1765.7
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1743.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1695.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1624.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1604.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1596.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1527.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1391.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1386.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1368.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1347.2
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1256.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1235.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1026.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
282.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
259.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
256.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
225.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
181.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
179.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
166.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
156.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
140.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
125.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
119.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
115.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
109.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
107.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
105.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
103.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
101.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
97.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
91.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
90.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
88.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
85.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
82.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
78.8
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
76.8
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
74.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
70.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
69.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
68.6
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
67.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
66.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
60.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
58.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
56.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
53.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
52.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
50.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
49.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
48.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
46.9
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
45.1
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
44.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
38.7
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
38.1
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
37.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
33.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
32.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
31.8
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
31.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
11.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
0.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
0.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
0.0
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
0.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
0.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
0.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
0.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
0.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
0.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
0.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
0.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
0.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
0.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
0.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
0.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
0.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
0.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
0.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
0.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
0.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0023350003
Tumor
0.9
CPT0012180003
Tumor
0.9
CPT0088550004
Tumor
0.7
CPT0017850003
Tumor
0.7
CPT0084560003
Tumor
0.6
CPT0001340003
Tumor
0.6
CPT0077320001
Normal
0.6
CPT0079410003
Tumor
0.6
CPT0081880003
Tumor
0.5
CPT0086950003
Tumor
0.5
CPT0077490003
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0088970003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0002350011
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0017410003
Tumor
0.4
CPT0012550003
Tumor
0.4
CPT0084590001
Normal
0.4
CPT0075130003
Tumor
0.4
CPT0001180009
Tumor
0.4
CPT0085670003
Tumor
0.3
CPT0024670003
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0026410003
Tumor
0.3
CPT0000640003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0069000003
Tumor
0.3
CPT0025050003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0077310003
Tumor
0.2
CPT0075170001
Normal
0.2
CPT0001270001
Normal
0.2
CPT0012670003
Tumor
0.2
CPT0014450004
Tumor
0.2
CPT0025110003
Tumor
0.2
CPT0088630003
Tumor
0.2
CPT0025880003
Tumor
0.2
CPT0014370004
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0078800003
Tumor
0.1
CPT0018250001
Normal
0.1
CPT0079230003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0076330003
Tumor
0.1
CPT0000780007
Tumor
0.1
CPT0024680001
Normal
0.1
CPT0082010001
Normal
0.1
CPT0078990003
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0063630003
Tumor
0.1
CPT0086820003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0065430003
Tumor
0.1
CPT0086870003
Tumor
0.1
CPT0088690003
Tumor
0.1
CPT0079510001
Normal
0.1
CPT0012370003
Tumor
0.1
CPT0012900004
Tumor
0.1
CPT0001190001
Normal
0.1
CPT0065930003
Tumor
0.1
CPT0007320003
Tumor
0.1
CPT0021240003
Tumor
0.1
CPT0092730003
Tumor
0.1
CPT0006440003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0075560003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0069190001
Normal
0.1
CPT0079480003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0079270003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0079300001
Normal
0.0
CPT0012290003
Normal
0.0
CPT0025610001
Normal
0.0
CPT0015810003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0088760003
Tumor
0.0
CPT0012640003
Normal
0.0
CPT0078660003
Tumor
0.0
CPT0012920003
Normal
0.0
CPT0006900003
Tumor
0.0
CPT0077500001
Normal
0.0
CPT0006530001
Normal
0.0
CPT0069010001
Normal
0.0
CPT0009020003
Normal
0.0
CPT0081990003
Tumor
0.0
CPT0012090003
Normal
0.0
CPT0089460004
Tumor
0.0
CPT0011240003
Tumor
0.0
CPT0002270011
Tumor
0.0
CPT0012770003
Normal
0.0
CPT0025350003
Tumor
0.0
CPT0088570001
Normal
0.0
CPT0017450001
Normal
0.0
CPT0012570003
Normal
0.0
CPT0019990003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0081620001
Normal
0.0
CPT0014350001
Normal
0.0
CPT0020120003
Tumor
0.0
CPT0086030003
Tumor
0.0
CPT0001540009
Tumor
0.0
CPT0086890003
Normal
0.0
CPT0089020003
Tumor
0.0
CPT0006950001
Normal
0.0
CPT0088920001
Normal
0.0
CPT0014160003
Tumor
0.0
CPT0078830003
Tumor
0.0
CPT0075570001
Normal
-0.1
CPT0078940001
Normal
-0.1
CPT0006630003
Tumor
-0.1
CPT0019160001
Normal
-0.1
CPT0088780001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0065450001
Normal
-0.1
CPT0078530001
Normal
-0.1
CPT0019130003
Tumor
-0.1
CPT0013790003
Normal
-0.1
CPT0000660001
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0009080003
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0007470001
Normal
-0.1
CPT0088900003
Tumor
-0.1
CPT0066480003
Tumor
-0.1
CPT0014130001
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0023360001
Normal
-0.1
CPT0023690003
Tumor
-0.1
CPT0088640003
Normal
-0.1
CPT0079000001
Normal
-0.1
CPT0001510001
Normal
-0.1
CPT0064370003
Tumor
-0.1
CPT0025580004
Tumor
-0.1
CPT0007870001
Normal
-0.1
CPT0020020001
Normal
-0.1
CPT0015730003
Tumor
-0.1
CPT0092790003
Tumor
-0.1
CPT0009060003
Tumor
-0.1
CPT0063640001
Normal
-0.1
CPT0014470001
Normal
-0.1
CPT0078930003
Tumor
-0.1
CPT0086970003
Normal
-0.1
CPT0089480003
Normal
-0.1
CPT0065750003
Tumor
-0.1
CPT0066430001
Normal
-0.1
CPT0092290003
Tumor
-0.1
CPT0088710001
Normal
-0.1
CPT0065820001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0086830003
Normal
-0.1
CPT0025170003
Tumor
-0.1
CPT0092310003
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0001350001
Normal
-0.1
CPT0087040003
Tumor
-0.2
CPT0025060001
Normal
-0.2
CPT0065810003
Tumor
-0.2
CPT0092800003
Normal
-0.2
CPT0092740003
Normal
-0.2
CPT0086360003
Tumor
-0.2
CPT0000790001
Normal
-0.2
CPT0025290003
Tumor
-0.2
CPT0079380003
Tumor
-0.2
CPT0078510003
Tumor
-0.2
CPT0002370001
Normal
-0.2
CPT0025920001
Normal
-0.2
CPT0064400001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0001230001
Normal
-0.2
CPT0026420001
Normal
-0.2
CPT0001550001
Normal
-0.2
CPT0023710001
Normal
-0.2
CPT0078670001
Normal
-0.2
CPT0006730001
Normal
-0.2
CPT0010170001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0020130001
Normal
-0.2
CPT0066470004
Tumor
-0.2
CPT0089040001
Normal
-0.2
CPT0087050003
Normal
-0.2
CPT0001500009
Tumor
-0.2
CPT0088500001
Normal
-0.3
CPT0007860003
Tumor
-0.3
CPT0086370003
Normal
-0.3
CPT0063320003
Tumor
-0.3
CPT0015910003
Tumor
-0.3
CPT0079180003
Tumor
-0.3
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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.
The Human Protein Atlas project is funded
