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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.
RPS2 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
1350.9
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6900.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3855.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3679.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3593.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
3143.4
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
3100.1
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2683.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2416.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2399.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2342.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2221.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2149.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2033.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
1978.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1939.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1925.9
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1923.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1809.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1782.0
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1731.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1702.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1687.9
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1629.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1601.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1592.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1557.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1539.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1516.8
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1508.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1476.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1370.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1357.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1304.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1099.4
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1059.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
934.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
923.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
764.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
757.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
607.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
593.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
486.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
484.0
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
483.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
453.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
417.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
412.7
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
384.2
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
321.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
314.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
292.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
269.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
267.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
262.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
217.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
217.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
214.0
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
194.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
184.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
157.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
89.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
87.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
38.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 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.
RPS2 is validated prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2417.8
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
8088.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7546.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6927.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
6663.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
6644.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6618.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6599.8
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6309.7
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
6129.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
5758.2
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
5516.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5113.4
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
5110.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5094.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4743.1
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4718.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4655.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4510.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4496.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4478.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4465.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4414.0
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4353.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4333.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4290.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
4246.9
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4189.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
4160.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4140.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4092.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4080.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3965.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3958.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3955.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3912.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3868.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3852.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3838.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3834.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3813.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3785.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
3780.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3774.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3763.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3733.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3713.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3710.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3670.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3661.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3649.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3618.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3613.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3607.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3559.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3546.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3544.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3536.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3525.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3523.8
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3515.5
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3512.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3512.0
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3462.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3447.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3444.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3427.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3408.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3393.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3346.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3346.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3334.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3331.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3328.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3327.0
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3326.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3308.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3296.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3278.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3276.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3276.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3251.5
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3239.6
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3224.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3224.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3217.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3209.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3197.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3174.5
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3162.6
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3159.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3149.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3148.7
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3137.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3123.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3119.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3111.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3092.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3082.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3077.5
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3069.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3067.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3044.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3040.4
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3038.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3028.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3014.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3002.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2982.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2982.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2972.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2962.2
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2938.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2929.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2926.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2908.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2895.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2885.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2885.0
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2882.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2876.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2875.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2875.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2868.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2865.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2859.3
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2850.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2850.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2847.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2846.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2846.0
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2841.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2841.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2830.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2829.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2800.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2783.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2781.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2780.7
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2770.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2756.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2756.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2754.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2751.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2749.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2748.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2738.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2733.2
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2729.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
2728.5
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2722.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2719.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
2718.7
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2717.3
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2713.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2712.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2710.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2703.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2684.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2678.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2669.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2667.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2664.2
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2662.1
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2661.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2658.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2650.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2649.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2645.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2645.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2643.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2636.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2632.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2627.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2624.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2621.1
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2600.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2598.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2589.8
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2580.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2579.0
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2568.2
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2567.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2565.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2564.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2560.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2558.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2558.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2557.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2550.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2542.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2542.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2540.2
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2539.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2534.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2509.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2507.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2500.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2489.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2486.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2484.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2482.9
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2481.1
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2479.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2479.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2476.4
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2464.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2461.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2459.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2452.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2449.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2448.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2445.2
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2444.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2443.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2439.8
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2439.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2438.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2437.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2434.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2432.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2430.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2428.8
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2424.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2423.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
2423.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2421.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2414.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2411.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2399.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2393.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2390.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2389.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2388.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2366.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2360.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2360.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2354.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2353.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2343.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2343.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2339.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2338.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2335.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2333.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2324.2
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2302.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2289.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2279.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2270.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2265.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2265.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2262.1
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2254.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2248.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2247.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2240.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2238.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2236.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2236.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2233.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2230.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2224.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2219.8
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2217.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2211.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2207.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2202.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2202.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2200.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2199.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2198.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2196.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2193.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2193.3
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2188.8
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2188.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2186.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2177.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2177.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2176.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2174.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2172.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2172.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2167.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2156.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2148.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2148.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2146.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2140.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2136.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2136.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2136.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2133.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2132.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2129.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2119.5
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2118.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2117.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2113.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2112.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2107.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2102.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2100.5
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
2087.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2085.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2079.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2078.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2057.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2054.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2052.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2051.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2035.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2026.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2023.9
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2017.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2008.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2007.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2006.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2005.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2003.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2002.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1996.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1993.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1988.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1987.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1984.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
1979.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1977.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1969.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
1964.3
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1963.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1951.8
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1950.9
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1950.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1947.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1944.9
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1943.3
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
1933.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1930.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1922.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
1921.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1919.5
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1919.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1903.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1892.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1887.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1886.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1884.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1881.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1872.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1868.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1863.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
1862.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1862.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
1859.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1852.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1851.0
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1849.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1849.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1846.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1842.1
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1840.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1840.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1834.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
1827.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1827.7
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1825.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1822.6
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1813.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1810.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1810.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1809.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1808.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1808.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1807.9
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1804.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1792.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1792.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1788.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1779.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1778.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1774.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1774.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1771.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1766.6
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
1766.6
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1760.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1759.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1758.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1744.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1741.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1735.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
1733.8
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1723.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
1720.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1717.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1713.4
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1707.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1705.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1702.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1698.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1697.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1687.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1684.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1684.1
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1676.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1664.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1663.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1662.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1661.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1654.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1651.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1644.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1642.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1640.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1638.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1637.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1637.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1633.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1627.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1627.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1615.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1613.7
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1609.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1605.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1596.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1594.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1590.5
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1587.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1585.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1581.4
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1580.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1577.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1573.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1572.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1561.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1559.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1558.8
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1557.4
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1547.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
1546.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1545.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1541.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1540.1
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1536.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1534.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1531.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1528.7
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1525.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1523.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1516.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1516.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1513.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1505.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1502.3
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1483.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1479.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1477.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1457.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1454.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1443.5
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1435.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1430.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1428.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1427.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1426.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1413.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1411.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1406.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1401.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1398.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1392.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1392.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1390.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1386.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1375.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1369.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1368.3
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1364.3
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1363.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1357.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1329.4
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1320.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1310.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1304.8
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1304.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1289.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1288.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1280.9
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1243.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1236.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1223.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1221.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1202.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1177.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1170.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1167.8
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1164.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1159.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1143.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1139.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1125.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1104.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1050.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1042.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1026.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1007.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
998.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
991.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
974.2
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
971.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
905.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
889.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
885.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
876.3
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
835.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
803.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
793.3
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
640.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
538.7
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 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.
RPS2 is validated prognostic, high expression is unfavorable 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
1859.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
4977.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4316.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
4184.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3703.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3650.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3466.4
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3426.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3403.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3170.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3044.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3012.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2997.9
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2929.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2824.4
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2792.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2719.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2700.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2530.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2504.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2439.4
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2401.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2360.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2351.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2321.8
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2276.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2240.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2227.2
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2176.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2175.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1946.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1939.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1926.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1894.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1859.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1849.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1837.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1829.1
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1822.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1817.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1805.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1805.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1769.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1715.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1675.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1667.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1650.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1645.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1600.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1596.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1596.0
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1591.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1586.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1576.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1567.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1563.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1560.7
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1550.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1549.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1503.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1490.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1483.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1470.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1459.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1458.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1454.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1445.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1431.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1417.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1400.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1385.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1383.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1363.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1326.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1324.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1310.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1287.5
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1280.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1255.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1243.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1230.2
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1225.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1219.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1213.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1212.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1194.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1185.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1184.7
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1151.3
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1131.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1106.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1097.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1076.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1055.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
980.9
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
977.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
939.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
843.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
777.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
509.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS2 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1871.9
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
8603.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
6842.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
6698.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5956.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5783.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5734.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
5621.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4901.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4817.4
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4548.1
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4524.5
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
4473.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4332.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4270.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3936.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3905.8
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3881.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3874.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3809.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3757.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3754.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3728.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3726.1
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3701.5
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3682.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3654.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3644.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
3584.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3431.3
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3421.2
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3353.5
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3326.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3300.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3260.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3213.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3188.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3150.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3145.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3133.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3133.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3126.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3093.8
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3058.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3049.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3034.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2963.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2868.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2806.9
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2786.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2773.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2769.6
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2766.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2733.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2704.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2674.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2674.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2668.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2655.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2646.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2642.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2599.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2590.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2576.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2575.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2559.2
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2530.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2524.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2517.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2485.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2471.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2469.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2463.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2444.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2437.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2415.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2405.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2394.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2391.3
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2387.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2370.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2351.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2342.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2336.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2330.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2329.8
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2326.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2317.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2313.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2296.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2274.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2271.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2262.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2242.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2241.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2234.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2233.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2228.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2205.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2174.3
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2168.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2102.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2102.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2099.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2085.9
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2074.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2074.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2068.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2066.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2062.4
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2052.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2051.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2043.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2030.4
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2027.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2009.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2001.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1986.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1975.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
1970.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1964.0
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1950.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1949.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
1939.0
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1930.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1919.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1916.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1913.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1912.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1910.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1908.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1905.9
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1889.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1885.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1884.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1883.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1882.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1881.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1876.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1874.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1868.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1845.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1844.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1835.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1816.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1802.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1791.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1783.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1779.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1746.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1740.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1738.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1734.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1714.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1712.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1712.1
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1710.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1692.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1682.2
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1670.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1657.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1649.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1622.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1611.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1595.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1592.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1590.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1589.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1581.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1577.4
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1564.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1547.5
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1538.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1533.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1525.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1512.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1511.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1488.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1485.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1465.0
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1450.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1435.6
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1434.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1432.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1430.9
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1424.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1394.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1356.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1345.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1339.4
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1303.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1273.1
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1267.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1234.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1233.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1190.5
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1185.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1176.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1142.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1135.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1102.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1081.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1027.5
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1021.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1011.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1001.9
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
987.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
986.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
958.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
954.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
929.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
916.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
907.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
866.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
826.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
764.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
757.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
679.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
613.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
609.6
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
594.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
593.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
577.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
576.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
573.3
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
559.9
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
542.4
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
541.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
527.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
485.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
481.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
473.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
470.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
450.7
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
420.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
419.3
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
417.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
410.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
407.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
381.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
376.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
374.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
373.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
370.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
357.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
346.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
337.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
337.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
334.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
319.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
305.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
301.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
300.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
300.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
277.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
270.9
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
264.4
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
263.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
236.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
226.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
217.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
207.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
198.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
197.9
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
193.5
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
191.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
186.9
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
182.8
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
181.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
181.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
174.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
158.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
158.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
157.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
148.7
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
148.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
118.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
116.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
115.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
107.1
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
97.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
84.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
59.1
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
0.8
CPT0023350003
Tumor
0.6
CPT0078800003
Tumor
0.5
CPT0084560003
Tumor
0.5
CPT0088550004
Tumor
0.5
CPT0012180003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0075130003
Tumor
0.4
CPT0088970003
Tumor
0.4
CPT0025110003
Tumor
0.4
CPT0017850003
Tumor
0.4
CPT0017450001
Normal
0.3
CPT0002270011
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0077110003
Tumor
0.3
CPT0002350011
Tumor
0.3
CPT0010110003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0075170001
Normal
0.3
CPT0001260009
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0092740003
Normal
0.3
CPT0077320001
Normal
0.2
CPT0086820003
Tumor
0.2
CPT0079410003
Tumor
0.2
CPT0088480003
Tumor
0.2
CPT0024670003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0086870003
Tumor
0.2
CPT0076350001
Normal
0.2
CPT0014450004
Tumor
0.2
CPT0075570001
Normal
0.2
CPT0075720003
Tumor
0.2
CPT0082010001
Normal
0.2
CPT0081600003
Tumor
0.2
CPT0001190001
Normal
0.2
CPT0001540009
Tumor
0.2
CPT0017410003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0012080003
Tumor
0.1
CPT0088690003
Tumor
0.1
CPT0001270001
Normal
0.1
CPT0025050003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0012570003
Normal
0.1
CPT0079430001
Normal
0.1
CPT0014130001
Normal
0.1
CPT0066430001
Normal
0.1
CPT0089040001
Normal
0.1
CPT0076330003
Tumor
0.1
CPT0078990003
Tumor
0.1
CPT0065820001
Normal
0.1
CPT0086950003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0065430003
Tumor
0.1
CPT0000660001
Normal
0.1
CPT0086970003
Normal
0.1
CPT0001350001
Normal
0.1
CPT0089480003
Normal
0.1
CPT0000640003
Tumor
0.1
CPT0086830003
Normal
0.1
CPT0006530001
Normal
0.1
CPT0018250001
Normal
0.1
CPT0092800003
Normal
0.1
CPT0012670003
Tumor
0.1
CPT0020020001
Normal
0.1
CPT0078510003
Tumor
0.1
CPT0085670003
Tumor
0.1
CPT0079230003
Tumor
0.1
CPT0069160003
Tumor
0.1
CPT0025060001
Normal
0.1
CPT0086890003
Normal
0.1
CPT0078840001
Normal
0.1
CPT0007870001
Normal
0.1
CPT0066520001
Normal
0.1
CPT0024680001
Normal
0.1
CPT0081620001
Normal
0.1
CPT0006730001
Normal
0.1
CPT0009000003
Tumor
0.0
CPT0007470001
Normal
0.0
CPT0075560003
Tumor
0.0
CPT0088780001
Normal
0.0
CPT0000890001
Normal
0.0
CPT0088630003
Tumor
0.0
CPT0086370003
Normal
0.0
CPT0092310003
Normal
0.0
CPT0078940001
Normal
0.0
CPT0010170001
Normal
0.0
CPT0064400001
Normal
0.0
CPT0019130003
Tumor
0.0
CPT0069190001
Normal
0.0
CPT0079000001
Normal
0.0
CPT0014350001
Normal
0.0
CPT0025610001
Normal
0.0
CPT0088710001
Normal
0.0
CPT0079300001
Normal
0.0
CPT0088570001
Normal
0.0
CPT0014470001
Normal
0.0
CPT0079270003
Tumor
0.0
CPT0010160003
Tumor
0.0
CPT0006950001
Normal
0.0
CPT0077500001
Normal
0.0
CPT0023710001
Normal
0.0
CPT0012090003
Normal
0.0
CPT0023360001
Normal
0.0
CPT0012290003
Normal
0.0
CPT0078660003
Tumor
0.0
CPT0012920003
Normal
0.0
CPT0081990003
Tumor
0.0
CPT0069010001
Normal
0.0
CPT0065450001
Normal
0.0
CPT0063640001
Normal
0.0
CPT0011240003
Tumor
0.0
CPT0077140001
Normal
0.0
CPT0013790003
Normal
0.0
CPT0000790001
Normal
0.0
CPT0079480003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0069000003
Tumor
0.0
CPT0087050003
Normal
-0.1
CPT0088500001
Normal
-0.1
CPT0001550001
Normal
-0.1
CPT0088640003
Normal
-0.1
CPT0002370001
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0014370004
Tumor
-0.1
CPT0001230001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0063630003
Tumor
-0.1
CPT0001510001
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0025920001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0012640003
Normal
-0.1
CPT0026420001
Normal
-0.1
CPT0012550003
Tumor
-0.1
CPT0021240003
Tumor
-0.1
CPT0065870003
Tumor
-0.1
CPT0019160001
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0009080003
Normal
-0.1
CPT0025580004
Tumor
-0.1
CPT0086360003
Tumor
-0.1
CPT0001220008
Tumor
-0.1
CPT0020120003
Tumor
-0.1
CPT0012370003
Tumor
-0.1
CPT0081880003
Tumor
-0.2
CPT0015730003
Tumor
-0.2
CPT0079180003
Tumor
-0.2
CPT0088760003
Tumor
-0.2
CPT0025290003
Tumor
-0.2
CPT0025350003
Tumor
-0.2
CPT0077310003
Tumor
-0.2
CPT0065930003
Tumor
-0.2
CPT0015810003
Tumor
-0.2
CPT0006440003
Tumor
-0.2
CPT0006900003
Tumor
-0.3
CPT0092730003
Tumor
-0.3
CPT0000870016
Tumor
-0.3
CPT0007860003
Tumor
-0.3
CPT0077490003
Tumor
-0.3
CPT0014160003
Tumor
-0.3
CPT0006630003
Tumor
-0.3
CPT0092290003
Tumor
-0.3
CPT0078830003
Tumor
-0.3
CPT0087040003
Tumor
-0.3
CPT0086030003
Tumor
-0.3
CPT0079510001
Normal
-0.3
CPT0025170003
Tumor
-0.3
CPT0023690003
Tumor
-0.3
CPT0009060003
Tumor
-0.3
CPT0065810003
Tumor
-0.4
CPT0015910003
Tumor
-0.4
CPT0066470004
Tumor
-0.4
CPT0071150004
Tumor
-0.4
CPT0066480003
Tumor
-0.4
CPT0079380003
Tumor
-0.4
CPT0088900003
Tumor
-0.4
CPT0065750003
Tumor
-0.4
CPT0092790003
Tumor
-0.4
CPT0078530001
Normal
-0.5
CPT0000780007
Tumor
-0.5
CPT0064370003
Tumor
-0.5
CPT0001500009
Tumor
-0.5
CPT0019990003
Tumor
-0.5
CPT0065690003
Tumor
-0.5
CPT0063320003
Tumor
-0.5
CPT0089020003
Tumor
-0.5
CPT0078930003
Tumor
-0.5
CPT0089460004
Tumor
-0.6
CPT0012900004
Tumor
-0.7
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
