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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.
RPS20 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
1704.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
9737.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
5160.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
5114.5
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
3781.0
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3616.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3349.4
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2882.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2671.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2660.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2621.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2562.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2390.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2373.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2362.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2353.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2350.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2307.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2249.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2237.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2157.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2152.3
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2087.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2043.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2038.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1912.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1905.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1730.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1602.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1510.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
1427.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1421.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1388.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1308.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1307.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1252.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1230.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1204.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1189.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1113.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1108.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1096.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1064.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
910.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
836.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
756.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
749.3
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
669.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
595.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
547.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
534.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
512.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
471.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
469.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
449.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
444.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
442.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
415.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
406.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
402.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
376.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
332.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
295.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
252.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS20 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3169.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9779.2
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
9691.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
9140.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9131.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
8043.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
7953.6
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7834.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
7801.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7581.7
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
7254.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
7128.6
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
7127.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
6778.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
6656.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6472.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6423.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6363.8
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
6250.3
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5862.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5840.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5742.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5575.1
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5307.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5299.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5295.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
5269.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
5223.5
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
5184.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5178.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
5143.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
5127.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5076.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
5068.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5002.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4980.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4974.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4915.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4905.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4868.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4866.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
4859.8
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4789.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4785.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4731.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4713.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4648.4
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4639.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4630.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4596.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
4561.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4560.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
4559.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
4554.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4544.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4530.7
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4524.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4518.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4482.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4480.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4468.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4458.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4457.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
4450.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4448.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4417.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4413.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4387.2
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4368.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4367.6
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
4349.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4296.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4289.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4279.3
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
4278.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4250.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4239.4
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4236.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4229.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
4203.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4171.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
4155.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4148.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4132.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4131.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
4130.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
4111.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4107.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4064.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4061.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4059.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4043.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4033.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4027.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4025.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4000.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3985.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3964.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3943.2
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3934.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3922.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3922.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3913.4
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3911.8
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3908.0
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3902.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3894.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3883.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3879.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3875.9
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3875.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3874.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3866.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3863.9
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3849.6
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3841.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3840.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3840.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3833.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3825.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
3819.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3811.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3796.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3795.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3777.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3777.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3767.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3765.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3763.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3762.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
3760.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3754.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3752.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3728.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3721.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3720.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3706.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3676.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3670.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
3664.4
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3638.3
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3633.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3608.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3604.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3601.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3581.7
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3557.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3547.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3542.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3540.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3538.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3518.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3513.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3502.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3498.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3495.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3486.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3484.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3468.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3467.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
3460.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3460.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3458.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3425.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3409.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3403.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3395.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3381.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3353.6
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3353.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3349.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3347.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3345.5
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3345.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3337.9
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3335.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3334.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3331.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3329.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3322.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3310.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3308.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3294.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3286.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3282.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3281.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3281.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3279.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3269.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3263.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3253.8
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3253.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3250.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3239.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3239.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3238.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3237.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3237.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3229.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3221.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3212.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3199.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3194.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3190.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3183.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3182.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3177.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3176.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3170.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3169.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3165.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3165.3
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3162.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3160.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3160.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3158.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3156.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3147.9
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3142.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3131.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3129.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3125.3
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3124.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3124.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3122.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3115.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3100.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3095.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3093.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3088.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3088.2
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3079.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3077.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3074.5
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3072.8
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
3066.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3062.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3059.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3052.6
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3050.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3038.6
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3033.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3032.8
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3024.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3020.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3016.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3003.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3000.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2997.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2996.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2994.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2993.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2982.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2969.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2969.7
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2968.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2966.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2952.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2944.4
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2935.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2933.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2930.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2929.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2922.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2918.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2917.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2916.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2910.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2901.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2897.9
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2890.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2887.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2876.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2875.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2871.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2866.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2866.4
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2866.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2863.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2861.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2859.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2856.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2855.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2843.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2841.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2841.3
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2840.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2839.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2836.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2835.5
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2834.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
2823.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2815.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2814.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2801.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2796.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2788.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2787.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2786.8
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2785.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2781.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2780.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2776.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2776.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2774.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2761.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2759.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2748.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2744.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2738.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2737.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2727.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2723.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2722.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2721.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2718.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2716.8
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2716.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2714.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2713.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2704.8
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2700.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2694.9
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2688.9
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2680.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2678.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2678.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2673.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2672.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2667.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2663.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2656.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2654.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2652.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2645.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2644.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2639.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2636.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2621.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2618.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2618.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2615.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2615.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2612.1
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2610.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2595.6
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2595.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2590.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2589.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2575.0
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2568.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2565.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2559.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2551.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2549.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2548.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2544.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2541.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
2540.7
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2534.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2533.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2530.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2525.4
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2523.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2514.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2507.6
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2499.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2495.9
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2485.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2482.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2474.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2471.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2468.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2467.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2466.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2464.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2460.1
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2459.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2458.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2455.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2453.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2444.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2443.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2439.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2438.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2429.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2428.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2428.0
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2427.6
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2422.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2400.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2393.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2390.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2386.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2383.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2376.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2370.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2367.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2367.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
2364.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2363.7
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2359.5
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2355.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2354.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2353.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2339.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2336.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2327.4
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2320.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2311.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2301.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2287.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2286.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2281.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2272.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2251.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2248.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2245.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2235.5
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2234.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2231.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2231.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2213.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2213.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2204.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2202.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2198.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2192.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2185.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2167.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2157.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2155.6
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2149.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2148.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2126.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2125.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2107.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2107.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2103.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2091.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2089.4
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2088.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2081.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2068.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2067.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2063.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2054.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2052.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2051.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2036.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2034.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2015.3
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2014.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1998.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1992.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1979.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1977.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1972.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1963.4
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1950.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1949.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1947.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1941.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1941.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1926.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1920.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1911.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1904.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1876.8
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1873.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1858.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1851.4
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1836.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1834.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1833.2
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1832.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1827.9
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1811.1
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1808.7
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
1781.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1753.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1730.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1704.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1700.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1696.1
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1668.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1654.9
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1653.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1637.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1635.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1623.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1620.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
1619.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1612.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1600.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1597.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1593.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1592.9
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1583.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1532.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1531.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1506.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1496.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1491.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1480.7
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1468.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1448.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1448.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1448.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1439.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1371.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1362.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1360.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1328.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1309.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1292.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1268.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1179.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1173.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1162.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1137.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 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.
RPS20 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2773.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
6358.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6094.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
5754.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5128.8
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
5041.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4366.3
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4355.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4292.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3993.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3968.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3962.0
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3937.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3877.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3638.0
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3597.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3440.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3327.2
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3275.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3265.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3258.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3252.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3229.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3221.1
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
3161.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3158.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3151.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3116.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3107.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3060.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3031.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3024.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3004.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2982.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2973.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2961.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2928.0
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2883.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2844.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2843.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2834.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2816.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2786.2
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2778.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2734.8
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2695.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2682.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2667.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2642.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2613.9
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2596.0
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2577.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2574.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2538.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2504.3
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2494.7
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2482.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2480.8
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2471.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2465.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2458.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2447.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2440.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2429.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2424.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2414.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2413.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2397.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2374.3
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2329.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2231.4
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2204.3
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2169.2
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2149.4
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2145.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2142.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2119.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2071.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2066.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2053.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2052.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2041.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2015.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2012.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2012.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2007.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1989.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1954.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1901.6
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1879.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1793.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1789.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1725.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1680.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1644.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1606.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1588.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1533.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1219.3
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1133.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS20 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
2453.2
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
8243.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
8235.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
8231.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6900.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
6441.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
6373.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
5796.5
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5758.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5212.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5196.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5028.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5026.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4984.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4975.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4800.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4767.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4732.9
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4591.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4569.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4556.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
4513.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4478.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4406.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4293.1
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4231.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
4189.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
4163.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
4158.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
4103.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4081.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4038.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4033.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4032.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3990.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3882.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3855.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3849.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3828.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3813.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3809.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3802.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3798.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3789.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3782.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
3746.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3738.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3731.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
3676.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3640.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3618.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3614.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3494.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3441.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3438.3
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3437.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
3432.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3411.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3407.7
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3403.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3385.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3367.9
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
3356.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3336.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
3331.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3328.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3281.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3278.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
3276.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3269.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
3237.1
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3232.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3212.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3202.3
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3163.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3163.1
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3155.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3149.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3146.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3113.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3080.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3044.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3026.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3024.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3020.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
3010.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2979.3
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2934.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2932.1
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2931.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2922.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2908.7
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2897.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2887.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2865.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2865.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2851.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2843.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2826.0
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2815.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2792.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2788.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2773.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2767.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2767.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2765.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2731.4
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2729.2
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2719.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2709.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2700.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2681.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2679.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2676.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2670.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2654.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2653.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2651.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2650.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2644.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2624.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2621.3
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2604.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2593.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2593.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2591.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2587.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2585.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2583.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2550.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2548.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2536.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2527.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2487.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2459.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2459.3
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2459.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2439.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2426.8
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2426.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2410.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2408.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2400.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2389.9
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2382.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2373.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2330.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2329.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2325.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2322.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2317.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2288.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2284.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2283.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2281.5
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2269.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2266.5
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2252.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2221.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2215.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2211.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2192.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2190.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2188.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2153.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2141.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2139.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2123.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2121.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2110.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2106.6
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2098.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2085.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2074.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2063.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2044.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2035.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
2030.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2022.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2020.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2012.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1998.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1998.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1929.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1918.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1886.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1874.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1868.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1862.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1850.2
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1834.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1825.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1817.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1808.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1804.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1753.3
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1750.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1748.9
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1747.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1738.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
1668.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1652.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1621.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1586.5
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1572.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1561.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1555.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1546.1
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1535.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1519.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1507.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1504.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1503.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1492.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1480.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1457.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1412.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1375.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1348.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1326.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1321.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1240.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1180.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1147.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1129.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1102.4
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1077.6
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1067.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1041.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1037.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1034.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1023.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1016.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1000.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
959.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
907.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
862.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
847.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
830.6
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
808.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
798.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
757.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
746.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
679.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
677.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
666.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
654.7
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
648.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
642.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
617.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
605.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
598.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
593.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
588.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
583.1
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
571.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
567.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
567.3
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
553.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
552.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
551.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
525.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
522.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
514.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
505.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
497.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
494.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
464.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
458.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
450.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
449.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
446.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
412.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
406.2
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
400.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
374.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
372.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
349.6
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
332.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
291.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
279.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
245.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
244.7
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
0.7
CPT0017410003
Tumor
0.6
CPT0012180003
Tumor
0.6
CPT0001180009
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0002350011
Tumor
0.5
CPT0009000003
Tumor
0.5
CPT0015810003
Tumor
0.5
CPT0075130003
Tumor
0.5
CPT0088970003
Tumor
0.4
CPT0012080003
Tumor
0.4
CPT0065750003
Tumor
0.4
CPT0088550004
Tumor
0.4
CPT0086820003
Tumor
0.4
CPT0086030003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0078800003
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0088690003
Tumor
0.3
CPT0012550003
Tumor
0.3
CPT0084560003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0024680001
Normal
0.3
CPT0025050003
Tumor
0.3
CPT0000780007
Tumor
0.2
CPT0088760003
Tumor
0.2
CPT0012280003
Tumor
0.2
CPT0075170001
Normal
0.2
CPT0012670003
Tumor
0.2
CPT0011410003
Tumor
0.2
CPT0011240003
Tumor
0.2
CPT0065430003
Tumor
0.2
CPT0014450004
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0086950003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0002270011
Tumor
0.2
CPT0012090003
Normal
0.2
CPT0063630003
Tumor
0.2
CPT0078660003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0069000003
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0000640003
Tumor
0.2
CPT0023350003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0017450001
Normal
0.2
CPT0092730003
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0018250001
Normal
0.2
CPT0010110003
Tumor
0.2
CPT0006530001
Normal
0.2
CPT0066470004
Tumor
0.2
CPT0012640003
Normal
0.2
CPT0085670003
Tumor
0.2
CPT0065930003
Tumor
0.2
CPT0082010001
Normal
0.2
CPT0078830003
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0088900003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0021240003
Tumor
0.1
CPT0079380003
Tumor
0.1
CPT0077320001
Normal
0.1
CPT0001260009
Tumor
0.1
CPT0081990003
Tumor
0.1
CPT0092160003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0088780001
Normal
0.1
CPT0009020003
Normal
0.1
CPT0025110003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0001190001
Normal
0.1
CPT0014350001
Normal
0.1
CPT0069190001
Normal
0.1
CPT0066430001
Normal
0.1
CPT0065810003
Tumor
0.1
CPT0020020001
Normal
0.1
CPT0012920003
Normal
0.1
CPT0026410003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0009060003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0023690003
Tumor
0.1
CPT0077310003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0006440003
Tumor
0.1
CPT0017850003
Tumor
0.1
CPT0089040001
Normal
0.1
CPT0012290003
Normal
0.1
CPT0075720003
Tumor
0.1
CPT0020130001
Normal
0.1
CPT0066480003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0078670001
Normal
0.0
CPT0079410003
Tumor
0.0
CPT0001540009
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0000660001
Normal
0.0
CPT0026420001
Normal
0.0
CPT0025610001
Normal
0.0
CPT0001500009
Tumor
0.0
CPT0025350003
Tumor
0.0
CPT0024670003
Tumor
0.0
CPT0013790003
Normal
0.0
CPT0086870003
Tumor
0.0
CPT0079230003
Tumor
0.0
CPT0088710001
Normal
0.0
CPT0006630003
Tumor
0.0
CPT0081880003
Tumor
0.0
CPT0009080003
Normal
0.0
CPT0007860003
Tumor
0.0
CPT0079300001
Normal
0.0
CPT0012770003
Normal
0.0
CPT0014130001
Normal
0.0
CPT0010120001
Normal
0.0
CPT0063640001
Normal
0.0
CPT0001350001
Normal
0.0
CPT0078990003
Tumor
0.0
CPT0000790001
Normal
0.0
CPT0065690003
Tumor
0.0
CPT0086890003
Normal
0.0
CPT0012370003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0075570001
Normal
0.0
CPT0014370004
Tumor
0.0
CPT0063330001
Normal
0.0
CPT0087050003
Normal
0.0
CPT0002370001
Normal
0.0
CPT0066520001
Normal
0.0
CPT0092790003
Tumor
0.0
CPT0069010001
Normal
0.0
CPT0023360001
Normal
0.0
CPT0092800003
Normal
-0.1
CPT0065450001
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0025290003
Tumor
-0.1
CPT0025060001
Normal
-0.1
CPT0014470001
Normal
-0.1
CPT0079270003
Tumor
-0.1
CPT0086830003
Normal
-0.1
CPT0087040003
Tumor
-0.1
CPT0007470001
Normal
-0.1
CPT0015730003
Tumor
-0.1
CPT0001230001
Normal
-0.1
CPT0089480003
Normal
-0.1
CPT0079480003
Tumor
-0.1
CPT0078840001
Normal
-0.1
CPT0015910003
Tumor
-0.1
CPT0007870001
Normal
-0.1
CPT0078930003
Tumor
-0.1
CPT0089020003
Tumor
-0.1
CPT0086370003
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0078940001
Normal
-0.1
CPT0012570003
Normal
-0.1
CPT0079000001
Normal
-0.1
CPT0019990003
Tumor
-0.1
CPT0010170001
Normal
-0.1
CPT0025920001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0086970003
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0001550001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0065820001
Normal
-0.1
CPT0088570001
Normal
-0.1
CPT0025170003
Tumor
-0.1
CPT0088920001
Normal
-0.2
CPT0092290003
Tumor
-0.2
CPT0023710001
Normal
-0.2
CPT0088640003
Normal
-0.2
CPT0006950001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0077500001
Normal
-0.2
CPT0001510001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0014160003
Tumor
-0.2
CPT0077140001
Normal
-0.2
CPT0088480003
Tumor
-0.2
CPT0006900003
Tumor
-0.2
CPT0006730001
Normal
-0.2
CPT0064370003
Tumor
-0.2
CPT0025580004
Tumor
-0.3
CPT0063320003
Tumor
-0.3
CPT0092740003
Normal
-0.3
CPT0079510001
Normal
-0.3
CPT0075560003
Tumor
-0.4
CPT0078510003
Tumor
-0.4
CPT0079180003
Tumor
-0.5
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
