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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.
RPS19 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
1578.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6024.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
4170.3
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3521.3
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3014.4
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2978.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2875.9
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2826.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2633.4
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2410.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2180.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
2134.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2108.0
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2000.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1910.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1909.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1897.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1886.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1851.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1760.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1753.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1743.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1676.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1670.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1662.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1636.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1636.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1633.5
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1585.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1568.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1568.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1534.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1523.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1476.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1475.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1392.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1389.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1361.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1188.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1133.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1124.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1112.5
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1086.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1064.2
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1062.3
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1010.3
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1005.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
986.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
924.8
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
904.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
897.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
891.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
879.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
852.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
722.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
700.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
700.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
659.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
628.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
608.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
594.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
590.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
513.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
488.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 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.
RPS19 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3296.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
13047.0
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
12840.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
10859.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
9934.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
9928.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
8119.2
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
8038.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
7990.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
7515.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7277.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7084.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6937.8
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
6925.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6712.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6543.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
6490.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
6425.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
6383.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
6306.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
6241.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
6068.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6059.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
6034.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
5926.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
5869.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
5846.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
5843.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
5821.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
5781.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5728.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5690.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
5627.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
5594.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5593.4
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5590.2
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5550.5
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
5546.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5474.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5445.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5393.9
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5378.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5360.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5332.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
5189.0
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
5183.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
5143.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
5111.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
5080.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5039.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
5001.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4996.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4963.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4838.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
4836.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4810.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4752.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4731.1
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4726.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4713.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
4711.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4686.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4684.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4669.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4648.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
4648.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4628.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4614.7
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4601.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4583.2
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4522.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4510.1
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4500.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4449.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4448.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
4444.5
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
4443.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4438.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4431.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4415.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4415.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4390.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4334.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4322.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4318.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4294.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
4280.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4266.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4260.4
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4256.7
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
4223.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4218.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4217.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4214.6
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4206.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
4194.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4177.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4162.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4130.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
4129.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4114.7
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
4096.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4061.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4049.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4041.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4029.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4029.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3996.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3990.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3980.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3972.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3957.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3951.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3948.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3948.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3931.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3912.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3910.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3905.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3890.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3886.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3875.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3873.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3870.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3856.6
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3854.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3843.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3837.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3837.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3836.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3836.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3814.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3814.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3805.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3791.2
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3785.6
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3784.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3778.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3766.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3759.5
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3745.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3721.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3717.0
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3713.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3711.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3709.6
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3705.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3698.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3670.8
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3666.0
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3661.3
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3660.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3657.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3655.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3643.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3642.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3638.3
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3628.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3625.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3619.1
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3618.4
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3618.2
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3611.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3603.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3585.6
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3584.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3583.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3580.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3577.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3562.5
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3557.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3556.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3554.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3549.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3539.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3536.0
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3535.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3532.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3486.1
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3478.8
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3470.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3469.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3468.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3465.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3464.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3461.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3428.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3415.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3401.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3400.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3397.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
3393.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3392.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3380.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3377.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3373.9
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3362.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3360.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3358.0
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3354.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
3341.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
3336.2
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3335.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3325.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3322.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3322.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
3302.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3297.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3296.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3294.9
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3289.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3282.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3278.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3278.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3248.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3233.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3233.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3229.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3222.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3222.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3220.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3217.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3216.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3215.1
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3208.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3201.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3199.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3196.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3195.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3194.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3193.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3189.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3185.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3183.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3181.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3181.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3178.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
3155.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3154.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3153.9
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3153.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3149.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3148.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3145.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3141.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3135.7
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3135.2
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3129.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3125.8
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3125.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3122.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3118.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3109.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3093.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
3085.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3085.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
3085.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3079.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3067.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3064.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3060.3
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3058.8
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3053.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3049.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3049.1
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3044.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3044.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3044.0
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3043.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3040.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3039.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3036.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3034.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3032.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3021.2
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3020.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3017.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3010.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3006.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2991.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2990.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2987.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2982.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2979.0
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2964.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
2963.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2962.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2962.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2958.6
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2935.4
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2905.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2905.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2898.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2894.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2886.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2879.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2873.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2872.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2866.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2865.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2863.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2862.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2860.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2860.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2855.6
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2854.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2852.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2844.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2841.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2837.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2836.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2836.5
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2826.1
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2809.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2800.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2794.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2783.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2781.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2776.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2766.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2761.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2761.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2755.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2748.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2744.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2744.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2742.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2738.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2725.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2713.6
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2695.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2695.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2695.5
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2688.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2670.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2666.1
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2665.2
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2653.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
2649.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2642.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2642.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2642.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2637.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2637.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2635.7
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2630.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2627.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2622.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2617.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2616.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2614.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2613.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2610.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2604.8
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2604.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2602.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2599.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2592.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2590.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2587.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2586.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2584.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2573.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2571.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2570.7
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2570.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2568.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2566.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2561.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2558.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2551.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2535.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2534.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2511.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2507.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2499.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2498.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2497.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2487.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2485.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2484.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2478.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2457.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2437.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2434.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2432.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2428.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2427.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2426.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2424.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2418.7
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2410.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2397.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2397.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2389.3
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2386.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2367.7
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2366.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2366.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2362.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2344.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2338.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2336.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2320.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2318.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2311.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2310.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2309.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2309.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2309.1
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2303.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2294.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2288.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2286.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2283.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2278.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2278.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2248.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2248.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2246.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2236.5
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2232.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2227.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2224.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2221.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2206.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2200.6
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2198.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2196.9
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2179.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2170.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2155.5
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2149.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2146.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2146.0
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2142.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2134.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2132.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2118.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2111.4
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2100.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2100.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2098.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2096.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2090.6
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2083.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2077.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2073.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2069.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2050.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2043.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2040.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2037.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2036.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2029.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2028.6
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2027.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2024.9
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2017.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1997.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1996.1
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1993.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1984.0
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1982.9
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1973.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1968.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1935.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1934.6
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1930.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1924.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1918.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1915.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1906.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1889.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1874.9
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1868.2
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1861.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1837.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1833.8
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1828.7
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1824.5
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1822.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1794.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1786.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1779.6
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1769.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1736.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1730.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1716.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1699.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1655.0
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1654.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1643.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1611.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1603.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1586.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1560.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1544.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1509.1
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1505.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1496.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1452.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1436.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1434.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1385.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1345.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1328.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1327.9
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1324.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1319.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1287.0
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1243.2
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1235.9
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1215.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1199.5
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1197.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
985.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
878.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
777.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
560.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
448.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS19 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2637.2
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
8620.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5090.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4970.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4809.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
4688.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
4560.4
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4052.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
3989.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3986.1
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3955.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3941.8
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3941.4
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3940.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3926.0
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3692.7
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3575.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3565.9
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3426.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3404.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3382.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3374.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3352.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3277.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3270.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3237.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3114.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3064.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2933.4
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2840.5
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2836.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2832.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2831.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2756.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2745.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2723.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2718.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2643.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2628.2
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2617.8
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2612.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2611.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2611.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2577.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2518.0
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2509.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2504.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2448.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2425.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2409.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2398.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2358.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2350.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2322.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2274.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2263.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2236.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2229.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2221.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2206.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2203.1
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2199.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2199.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2191.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2166.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2165.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2157.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2103.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2088.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2080.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2052.6
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2004.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1993.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1971.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1968.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1966.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1953.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1933.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1922.1
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1919.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1910.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1897.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1857.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1839.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1838.6
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1805.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1788.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1714.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1700.2
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1676.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1667.3
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1629.3
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1595.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1542.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1523.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1482.1
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1463.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1378.6
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1373.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
785.6
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS19 is potential prognostic, high expression is unfavorable in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2744.3
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
15775.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
13730.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
8203.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
8164.4
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
8129.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
7178.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
7134.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
7050.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
6917.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
6625.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
6548.5
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
6372.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
6023.5
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
5747.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
5603.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5583.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5554.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
5409.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5383.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
5343.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5314.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
5296.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
5188.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5139.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4886.1
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4879.0
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
4875.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4783.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4757.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4735.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4690.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4537.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4495.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4347.2
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
4313.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
4299.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
4286.5
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
4273.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4265.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4244.2
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4230.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
4195.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4187.1
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
4168.7
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4144.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4139.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4125.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4105.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3979.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3978.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3905.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3903.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3871.1
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3869.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3823.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3823.6
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3807.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3793.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3792.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3763.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3707.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3608.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3595.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3580.2
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3546.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3527.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
3524.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
3477.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3471.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3459.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3402.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3388.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3319.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3308.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3303.5
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3300.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3266.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3254.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3232.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3148.4
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
3100.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3070.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3064.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3050.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3049.5
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3029.7
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
3018.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3006.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3004.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2986.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2984.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2982.9
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2981.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2979.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2951.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2949.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2931.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2862.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2861.2
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2857.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2846.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2815.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2813.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2801.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2799.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2798.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2793.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2787.8
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2762.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2760.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2735.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2730.7
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2708.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2696.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2689.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2676.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2667.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2660.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2641.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2620.7
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2601.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2581.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2581.0
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2572.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2570.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
2555.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2529.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2524.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2524.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
2511.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2481.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2479.4
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2463.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2458.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2434.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2429.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2403.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2399.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2394.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2390.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2388.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2383.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2374.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2372.7
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2362.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2353.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2343.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2324.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2321.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2317.9
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2313.4
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2312.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2290.5
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2288.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2284.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2282.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2279.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2254.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2229.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2226.0
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2218.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2194.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2194.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
2193.6
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2189.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2189.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2188.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2169.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2167.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
2148.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2113.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
2112.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2103.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2082.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2050.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2043.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2016.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2009.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1987.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1983.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1971.5
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1967.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
1930.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1922.5
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1904.6
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1903.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1898.3
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1881.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1880.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1877.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1859.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1852.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1800.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1793.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1767.9
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1718.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1716.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1713.7
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1709.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1699.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1696.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1692.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1692.4
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1653.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1641.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1640.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1639.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1636.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1628.8
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1619.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1553.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1546.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1517.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1516.2
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1509.7
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1483.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1470.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1470.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1465.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1461.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1450.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1450.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1448.3
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1433.0
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1425.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1424.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1416.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1386.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1383.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1378.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1363.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1351.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1343.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1340.7
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1335.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1333.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1331.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1300.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1247.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1243.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1238.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
1232.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1211.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1200.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1198.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1194.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1176.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1171.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1121.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1117.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1113.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1096.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1095.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1091.9
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1017.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
992.2
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
960.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
949.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
891.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
890.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
889.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
846.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
840.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
833.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
808.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
807.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
806.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
765.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
757.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
748.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
741.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
701.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
639.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
628.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
617.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
580.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
574.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
536.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
536.1
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
502.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
501.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
406.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.2
CPT0001180009
Tumor
0.6
CPT0001340003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0023350003
Tumor
0.5
CPT0002350011
Tumor
0.5
CPT0075130003
Tumor
0.5
CPT0084560003
Tumor
0.4
CPT0065430003
Tumor
0.4
CPT0086950003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0012550003
Tumor
0.4
CPT0017410003
Tumor
0.4
CPT0088690003
Tumor
0.4
CPT0012180003
Tumor
0.4
CPT0077110003
Tumor
0.4
CPT0001270001
Normal
0.3
CPT0092730003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0089460004
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0065930003
Tumor
0.3
CPT0075560003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0078800003
Tumor
0.3
CPT0088970003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0079380003
Tumor
0.3
CPT0012280003
Tumor
0.3
CPT0025110003
Tumor
0.2
CPT0009000003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0025880003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0081880003
Tumor
0.2
CPT0066480003
Tumor
0.2
CPT0017850003
Tumor
0.2
CPT0025290003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0015810003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0011240003
Tumor
0.2
CPT0021240003
Tumor
0.2
CPT0001540009
Tumor
0.2
CPT0086030003
Tumor
0.2
CPT0088760003
Tumor
0.2
CPT0069160003
Tumor
0.2
CPT0085670003
Tumor
0.2
CPT0002270011
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0075720003
Tumor
0.2
CPT0078660003
Tumor
0.2
CPT0089020003
Tumor
0.1
CPT0024680001
Normal
0.1
CPT0075570001
Normal
0.1
CPT0012080003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0086820003
Tumor
0.1
CPT0065690003
Tumor
0.1
CPT0000640003
Tumor
0.1
CPT0019990003
Tumor
0.1
CPT0015730003
Tumor
0.1
CPT0084590001
Normal
0.1
CPT0006440003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0023690003
Tumor
0.1
CPT0024670003
Tumor
0.1
CPT0026410003
Tumor
0.1
CPT0025350003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0077490003
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0079510001
Normal
0.1
CPT0087040003
Tumor
0.1
CPT0086870003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0065870003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0079180003
Tumor
0.1
CPT0014130001
Normal
0.1
CPT0014470001
Normal
0.1
CPT0063630003
Tumor
0.1
CPT0092740003
Normal
0.1
CPT0066430001
Normal
0.1
CPT0007870001
Normal
0.1
CPT0088630003
Tumor
0.1
CPT0012900004
Tumor
0.1
CPT0078930003
Tumor
0.1
CPT0092160003
Tumor
0.0
CPT0000780007
Tumor
0.0
CPT0006530001
Normal
0.0
CPT0066470004
Tumor
0.0
CPT0079430001
Normal
0.0
CPT0001190001
Normal
0.0
CPT0006630003
Tumor
0.0
CPT0010120001
Normal
0.0
CPT0025060001
Normal
0.0
CPT0014370004
Tumor
0.0
CPT0020020001
Normal
0.0
CPT0012640003
Normal
0.0
CPT0000660001
Normal
0.0
CPT0079270003
Tumor
0.0
CPT0076330003
Tumor
0.0
CPT0020130001
Normal
0.0
CPT0023710001
Normal
0.0
CPT0023360001
Normal
0.0
CPT0086890003
Normal
0.0
CPT0078530001
Normal
0.0
CPT0065820001
Normal
0.0
CPT0064370003
Tumor
0.0
CPT0006900003
Tumor
0.0
CPT0089480003
Normal
0.0
CPT0078830003
Tumor
0.0
CPT0063330001
Normal
0.0
CPT0079300001
Normal
0.0
CPT0078840001
Normal
0.0
CPT0025580004
Tumor
0.0
CPT0012370003
Tumor
0.0
CPT0065810003
Tumor
0.0
CPT0078940001
Normal
0.0
CPT0063640001
Normal
0.0
CPT0077500001
Normal
0.0
CPT0001230001
Normal
0.0
CPT0009060003
Tumor
0.0
CPT0092800003
Normal
0.0
CPT0001350001
Normal
0.0
CPT0088780001
Normal
0.0
CPT0010170001
Normal
0.0
CPT0079230003
Tumor
-0.1
CPT0087050003
Normal
-0.1
CPT0025610001
Normal
-0.1
CPT0079480003
Tumor
-0.1
CPT0081990003
Tumor
-0.1
CPT0001550001
Normal
-0.1
CPT0000790001
Normal
-0.1
CPT0063320003
Tumor
-0.1
CPT0064400001
Normal
-0.1
CPT0019130003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0086970003
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0026420001
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0092290003
Tumor
-0.1
CPT0007470001
Normal
-0.1
CPT0017450001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0025920001
Normal
-0.1
CPT0012670003
Tumor
-0.1
CPT0082010001
Normal
-0.1
CPT0086370003
Normal
-0.1
CPT0089040001
Normal
-0.1
CPT0006730001
Normal
-0.1
CPT0006950001
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0078990003
Tumor
-0.1
CPT0002370001
Normal
-0.1
CPT0088570001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0001500009
Tumor
-0.1
CPT0088640003
Normal
-0.1
CPT0065750003
Tumor
-0.1
CPT0000890001
Normal
-0.1
CPT0069190001
Normal
-0.1
CPT0007860003
Tumor
-0.1
CPT0020120003
Tumor
-0.1
CPT0088710001
Normal
-0.1
CPT0077140001
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0001510001
Normal
-0.1
CPT0065450001
Normal
-0.1
CPT0014350001
Normal
-0.1
CPT0088500001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0012570003
Normal
-0.2
CPT0069000003
Tumor
-0.2
CPT0013790003
Normal
-0.2
CPT0012290003
Normal
-0.2
CPT0012090003
Normal
-0.2
CPT0009020003
Normal
-0.2
CPT0012920003
Normal
-0.2
CPT0014160003
Tumor
-0.2
CPT0009080003
Normal
-0.2
CPT0078510003
Tumor
-0.2
CPT0086830003
Normal
-0.2
CPT0018250001
Normal
-0.3
CPT0012770003
Normal
-0.3
CPT0069010001
Normal
-0.3
CPT0077310003
Tumor
-0.3
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
