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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.
RPS3A 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
1112.7
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4329.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3834.7
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3200.3
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2705.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2591.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2361.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2245.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2101.3
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1999.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1971.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1905.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1857.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1825.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1753.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1723.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1702.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1692.1
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1688.2
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1671.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1582.8
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1558.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1538.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1526.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1482.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1453.9
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1408.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1402.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1361.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1351.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1324.6
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1307.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1221.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1202.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1086.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1049.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1040.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
953.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
826.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
798.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
713.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
671.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
663.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
79.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
63.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
47.8
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
40.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
38.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
31.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
28.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
28.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
25.0
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
24.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
21.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
20.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
19.7
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
18.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
18.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
17.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
6.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
0.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
0.0
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
0.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
0.0
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.
RPS3A is validated prognostic, high expression is favorable 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
2661.5
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
18642.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
9568.6
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
9213.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
8768.2
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
8556.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
8105.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7851.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
7358.8
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6274.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5925.1
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
5561.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5377.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
5368.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
5062.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
5019.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4936.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4897.2
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
4809.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4805.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
4791.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4756.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4739.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
4647.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
4617.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4596.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4445.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4390.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4360.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4357.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
4295.1
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4217.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4142.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4131.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4122.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4103.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4084.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
4083.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4075.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3950.4
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3945.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3934.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3922.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3921.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3911.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3911.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3904.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3885.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3877.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3806.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3796.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3795.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3789.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
3761.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3744.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3729.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3718.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3681.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3662.6
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3661.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3657.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3655.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3620.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3618.7
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3604.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3599.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3595.9
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3584.3
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3579.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3576.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3575.4
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3565.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
3528.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3518.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3501.6
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3493.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3482.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3468.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3468.1
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3467.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3467.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3459.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3455.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3454.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3450.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3431.1
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3427.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3419.5
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3417.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3374.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3364.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3361.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3354.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3346.6
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3344.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3339.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3339.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3328.6
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3327.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3323.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3306.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3291.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3289.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3286.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3284.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3272.4
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3269.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3267.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3264.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3261.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3259.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3256.5
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3256.0
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3254.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3252.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3251.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3246.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3244.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3242.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3232.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3232.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3228.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3218.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3195.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3190.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3186.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3172.4
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3160.5
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3152.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3151.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3148.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3143.7
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3135.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3129.7
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3116.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3115.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3110.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3108.9
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3090.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3083.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3083.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3074.9
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3070.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3069.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
3068.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3059.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3046.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3028.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3025.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3021.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3012.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3007.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3007.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2998.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2993.5
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2984.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2979.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2973.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2962.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2962.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2949.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2947.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2943.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2942.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2941.6
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2937.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2935.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2925.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2908.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2901.9
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2899.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2863.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2862.6
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2858.3
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2852.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2837.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2837.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2825.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2811.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
2808.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2805.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2800.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2796.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2794.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2794.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2793.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2785.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2777.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2771.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2770.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2769.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2767.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2757.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2750.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2743.8
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2743.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2743.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2737.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2734.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2733.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2729.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
2722.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2718.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2717.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2703.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2701.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2701.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2700.9
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2698.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2697.9
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2689.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2685.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2683.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2682.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2673.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2659.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2659.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2650.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2647.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2644.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2644.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2638.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2637.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2626.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2623.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2600.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2595.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2595.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2592.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2589.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2582.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2580.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2577.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2574.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2563.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2563.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2562.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2553.8
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2550.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2545.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2544.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2528.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2527.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2526.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2522.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2521.5
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2520.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2516.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2516.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2511.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2509.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2508.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2506.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2505.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2501.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2500.9
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2500.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2499.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2498.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2496.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2494.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2492.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2491.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2485.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2483.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2477.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2472.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2470.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2469.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2469.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2468.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2463.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2463.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2460.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2459.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2445.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
2438.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2437.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2434.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2432.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2427.8
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2423.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2414.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2413.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2411.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2408.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2406.4
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2403.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2391.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2390.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2389.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2386.4
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2383.3
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2382.2
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2379.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2374.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2371.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2370.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2368.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2367.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2364.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2349.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2342.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2340.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2339.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2337.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2331.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2324.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2322.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2321.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2321.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2320.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
2315.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2312.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2311.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2308.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2307.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2298.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2293.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2292.7
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2288.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2287.3
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2281.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2280.9
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2280.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
2272.7
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2266.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2262.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2260.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2260.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2259.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2257.9
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2256.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2241.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2238.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2237.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2236.4
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2225.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2219.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2218.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2216.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2212.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2206.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2205.7
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2196.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2192.6
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2189.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2178.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2171.9
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2168.5
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2159.0
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2154.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2134.1
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2129.5
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2125.7
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2122.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2119.5
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2116.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2116.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2111.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2111.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2109.8
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2109.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2102.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2096.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2084.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2081.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
2080.9
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2072.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2041.8
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2039.6
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2037.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2036.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2034.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2033.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2031.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2024.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2018.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2006.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2006.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2004.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2002.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1993.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1991.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1980.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1978.9
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1976.3
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1975.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
1972.6
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1967.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1966.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1961.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1961.0
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1960.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1955.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1950.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1939.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1936.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1933.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1913.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1913.0
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1912.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1911.7
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1908.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1905.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1891.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1865.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1844.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1839.5
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1836.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1829.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1828.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1826.9
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1824.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1819.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1815.0
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1813.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1811.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1810.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1800.7
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1788.0
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
1784.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1776.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1775.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
1761.9
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1744.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1741.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1740.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1732.9
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1730.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1723.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1723.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1722.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1714.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1712.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1709.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1706.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1697.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1696.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1694.8
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1680.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1674.7
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1669.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1666.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1662.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1628.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1621.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1621.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1607.6
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1603.4
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1597.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1593.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1590.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1577.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1566.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1544.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1526.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1525.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1519.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1512.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1505.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1499.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1498.6
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1497.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1459.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1458.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1449.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1439.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1438.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1434.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1431.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1412.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1412.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1405.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1395.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1392.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1389.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1388.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1376.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1372.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1360.5
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1340.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1319.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1318.3
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1307.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1300.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1294.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1287.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1277.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1256.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1217.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1214.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1206.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1183.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1166.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1158.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1152.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1150.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1142.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1131.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1128.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1127.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1120.2
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1100.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1093.0
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1057.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1047.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1025.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1021.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1018.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1015.8
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1004.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
960.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
957.4
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
956.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
936.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
906.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
820.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
818.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
739.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
640.7
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 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.
RPS3A is validated prognostic, high expression is favorable 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
2339.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
4247.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3966.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3753.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3684.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3678.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3673.6
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3563.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3398.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3388.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3356.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3316.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3295.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3293.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3150.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3130.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3105.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3093.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3059.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3033.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3001.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2965.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2963.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2895.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2877.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2783.9
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2718.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2710.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2704.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2674.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2673.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2667.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2626.9
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2625.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2622.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2570.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2548.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2528.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2495.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2469.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2440.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2402.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2400.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2385.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2383.3
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2353.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2328.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2326.5
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2320.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2291.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2277.1
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2260.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2258.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2257.2
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2253.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2251.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2204.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2203.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2192.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2191.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2184.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2184.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2180.7
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2172.1
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2141.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2129.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2057.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2026.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2002.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1946.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1924.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1920.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1909.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1852.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1793.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1783.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1749.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1733.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1730.4
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1728.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1706.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1699.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1685.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1671.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1636.9
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1632.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1594.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1565.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1529.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1528.2
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1459.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1359.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1350.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1327.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1300.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1291.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1124.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1097.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1042.2
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
953.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 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.
RPS3A 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
1378.8
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6426.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4002.6
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3943.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
3885.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3858.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3666.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
3630.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3323.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3306.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3277.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3249.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3158.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3135.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3104.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3095.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3043.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2971.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2967.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2960.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2931.5
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2815.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2787.0
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2784.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2712.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2701.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2670.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2657.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2645.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2628.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2601.2
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2585.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2483.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2459.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2413.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2404.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2392.9
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2392.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2387.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2379.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2314.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2273.8
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2256.6
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2249.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2247.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2231.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2186.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2179.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2150.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2140.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2139.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2134.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2112.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2111.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2097.8
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2089.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2071.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2071.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2071.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2068.5
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2067.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2066.6
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2065.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2061.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2061.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2052.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2045.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2040.2
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2038.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2020.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2015.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2009.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2003.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1973.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1955.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1947.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1941.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1940.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1939.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1933.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1925.5
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1925.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1921.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1915.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1905.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1874.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1869.4
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1867.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1866.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1837.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1826.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1811.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1801.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1799.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1793.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1789.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1776.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1770.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
1768.1
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1767.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1758.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1752.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1751.4
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1749.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1741.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1727.8
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1724.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1721.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1706.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1703.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1699.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1697.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1697.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1676.9
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1669.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1667.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1665.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1662.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1658.0
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1644.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1640.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1620.0
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1605.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1601.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1591.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1570.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1568.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1566.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1558.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1544.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1535.2
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1534.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1531.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1529.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1526.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1524.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1521.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1472.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1468.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1468.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1466.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1465.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1462.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1446.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1440.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1420.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1406.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1405.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1400.8
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1396.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1396.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1394.5
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1394.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1390.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1389.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1387.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1385.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1385.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1384.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1379.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1377.6
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1373.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1358.9
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1344.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1322.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1304.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1304.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1304.3
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1303.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1287.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1280.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1267.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1265.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1255.2
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1231.2
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1205.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1194.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1182.5
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1167.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1152.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1142.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1142.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1113.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1109.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1104.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1097.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1096.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1068.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1060.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1056.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1051.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1050.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1033.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1015.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1010.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
980.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
979.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
934.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
913.9
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
901.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
890.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
868.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
841.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
823.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
810.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
789.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
785.3
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
763.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
736.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
708.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
636.0
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
518.2
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
58.1
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
51.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
47.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
43.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
41.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
37.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
36.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
35.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
34.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
33.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
30.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
27.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
27.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
25.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
24.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
23.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
22.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
21.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
21.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
21.2
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
20.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
19.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
19.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
19.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
18.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
18.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
17.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
17.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
17.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
17.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
16.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
16.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
16.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
16.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
16.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
16.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
14.2
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
11.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
11.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
10.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
10.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
10.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
9.7
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
6.8
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
6.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
5.4
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
0.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
0.0
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
0.0
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
0.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
0.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
0.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
0.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
0.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
0.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
0.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
0.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
0.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
0.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
0.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
0.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
0.0
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
0.0
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
0.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
0.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
0.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
0.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
0.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
0.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
0.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
0.9
CPT0001340003
Tumor
0.8
CPT0012180003
Tumor
0.6
CPT0084560003
Tumor
0.5
CPT0023350003
Tumor
0.5
CPT0012550003
Tumor
0.4
CPT0002350011
Tumor
0.4
CPT0075130003
Tumor
0.4
CPT0086950003
Tumor
0.4
CPT0065430003
Tumor
0.4
CPT0001180009
Tumor
0.4
CPT0086820003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0009000003
Tumor
0.3
CPT0017850003
Tumor
0.3
CPT0002270011
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0078800003
Tumor
0.3
CPT0088970003
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0001270001
Normal
0.3
CPT0088690003
Tumor
0.3
CPT0077110003
Tumor
0.3
CPT0011410003
Tumor
0.3
CPT0012280003
Tumor
0.3
CPT0025110003
Tumor
0.2
CPT0088480003
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0025880003
Tumor
0.2
CPT0024670003
Tumor
0.2
CPT0076350001
Normal
0.2
CPT0001540009
Tumor
0.2
CPT0065930003
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0012670003
Tumor
0.2
CPT0081880003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0092730003
Tumor
0.1
CPT0021240003
Tumor
0.1
CPT0076330003
Tumor
0.1
CPT0092190003
Normal
0.1
CPT0078660003
Tumor
0.1
CPT0092310003
Normal
0.1
CPT0001190001
Normal
0.1
CPT0007320003
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0066470004
Tumor
0.1
CPT0075570001
Normal
0.1
CPT0017450001
Normal
0.1
CPT0012080003
Tumor
0.1
CPT0089460004
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0082010001
Normal
0.1
CPT0088760003
Tumor
0.1
CPT0014130001
Normal
0.1
CPT0063630003
Tumor
0.1
CPT0079480003
Tumor
0.1
CPT0078510003
Tumor
0.1
CPT0019990003
Tumor
0.1
CPT0065450001
Normal
0.1
CPT0086030003
Tumor
0.1
CPT0015810003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0025060001
Normal
0.1
CPT0000780007
Tumor
0.1
CPT0088780001
Normal
0.1
CPT0018250001
Normal
0.1
CPT0075720003
Tumor
0.1
CPT0020120003
Tumor
0.0
CPT0025290003
Tumor
0.0
CPT0024680001
Normal
0.0
CPT0069000003
Tumor
0.0
CPT0086890003
Normal
0.0
CPT0006950001
Normal
0.0
CPT0077490003
Tumor
0.0
CPT0092800003
Normal
0.0
CPT0079380003
Tumor
0.0
CPT0085670003
Tumor
0.0
CPT0092740003
Normal
0.0
CPT0012090003
Normal
0.0
CPT0089040001
Normal
0.0
CPT0025610001
Normal
0.0
CPT0010120001
Normal
0.0
CPT0011240003
Tumor
0.0
CPT0089020003
Tumor
0.0
CPT0078530001
Normal
0.0
CPT0079180003
Tumor
0.0
CPT0071150004
Tumor
0.0
CPT0089480003
Normal
0.0
CPT0020020001
Normal
0.0
CPT0079230003
Tumor
0.0
CPT0063640001
Normal
0.0
CPT0079270003
Tumor
0.0
CPT0020130001
Normal
0.0
CPT0012370003
Tumor
0.0
CPT0014350001
Normal
0.0
CPT0066430001
Normal
0.0
CPT0012570003
Normal
0.0
CPT0077500001
Normal
0.0
CPT0078990003
Tumor
0.0
CPT0006530001
Normal
0.0
CPT0015730003
Tumor
0.0
CPT0086830003
Normal
0.0
CPT0001220008
Tumor
0.0
CPT0087050003
Normal
0.0
CPT0088630003
Tumor
0.0
CPT0081620001
Normal
0.0
CPT0065870003
Tumor
0.0
CPT0000790001
Normal
0.0
CPT0078840001
Normal
0.0
CPT0019130003
Tumor
0.0
CPT0092790003
Tumor
0.0
CPT0078830003
Tumor
0.0
CPT0000640003
Tumor
0.0
CPT0092290003
Tumor
0.0
CPT0086970003
Normal
0.0
CPT0081990003
Tumor
0.0
CPT0088710001
Normal
0.0
CPT0023360001
Normal
0.0
CPT0088500001
Normal
-0.1
CPT0088900003
Tumor
-0.1
CPT0065750003
Tumor
-0.1
CPT0066520001
Normal
-0.1
CPT0001350001
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0023710001
Normal
-0.1
CPT0079430001
Normal
-0.1
CPT0066480003
Tumor
-0.1
CPT0013790003
Normal
-0.1
CPT0000660001
Normal
-0.1
CPT0092160003
Tumor
-0.1
CPT0025350003
Tumor
-0.1
CPT0006440003
Tumor
-0.1
CPT0006630003
Tumor
-0.1
CPT0012900004
Tumor
-0.1
CPT0088920001
Normal
-0.1
CPT0001500009
Tumor
-0.1
CPT0007870001
Normal
-0.1
CPT0077140001
Normal
-0.1
CPT0010170001
Normal
-0.1
CPT0079510001
Normal
-0.1
CPT0064370003
Tumor
-0.1
CPT0025580004
Tumor
-0.1
CPT0069190001
Normal
-0.1
CPT0069010001
Normal
-0.1
CPT0007470001
Normal
-0.1
CPT0023690003
Tumor
-0.1
CPT0017410003
Tumor
-0.1
CPT0086370003
Normal
-0.1
CPT0001550001
Normal
-0.1
CPT0006730001
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0086870003
Tumor
-0.1
CPT0079000001
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0015910003
Tumor
-0.1
CPT0063330001
Normal
-0.1
CPT0012920003
Normal
-0.1
CPT0026420001
Normal
-0.1
CPT0088640003
Normal
-0.1
CPT0088570001
Normal
-0.1
CPT0075560003
Tumor
-0.1
CPT0063320003
Tumor
-0.1
CPT0079300001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0078940001
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0065820001
Normal
-0.1
CPT0077310003
Tumor
-0.1
CPT0014370004
Tumor
-0.1
CPT0019160001
Normal
-0.1
CPT0078930003
Tumor
-0.2
CPT0006900003
Tumor
-0.2
CPT0009080003
Normal
-0.2
CPT0025920001
Normal
-0.2
CPT0014470001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0009060003
Tumor
-0.2
CPT0087040003
Tumor
-0.2
CPT0014160003
Tumor
-0.2
CPT0000870016
Tumor
-0.2
CPT0001230001
Normal
-0.2
CPT0065810003
Tumor
-0.2
CPT0012640003
Normal
-0.2
CPT0007860003
Tumor
-0.2
CPT0001510001
Normal
-0.3
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
