We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPL10 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
1570.1
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6447.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4217.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
3562.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3364.7
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3146.0
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2884.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2800.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2778.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2772.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2762.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2661.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2545.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2465.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2451.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2382.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2352.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2270.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2261.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2251.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2208.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2157.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2154.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2116.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2009.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1990.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1954.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1943.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1929.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1789.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1768.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1741.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1633.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1613.6
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1543.2
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1484.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1439.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1279.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1184.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1165.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1048.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
876.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
664.5
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
598.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
473.7
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
453.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
411.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
411.1
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
379.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
351.4
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
344.9
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
331.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
326.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
320.7
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
281.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
270.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
236.5
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
223.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
220.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
193.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
178.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
175.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
138.3
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
97.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL10 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
4309.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
13481.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
13373.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
12253.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
11294.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
10279.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
10026.6
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
9640.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
9385.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
9344.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
9338.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
9071.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
8407.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
8289.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
8263.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7933.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
7909.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
7871.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
7753.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
7538.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
7502.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
7492.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
7412.7
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7395.6
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7370.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
7289.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
7273.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
7256.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7244.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
7153.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
7117.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
7011.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
7006.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
6968.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
6959.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6916.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
6786.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6780.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
6745.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
6733.0
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6704.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6675.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6630.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6618.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
6539.5
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
6528.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
6478.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6367.6
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
6347.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
6308.1
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6284.4
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6278.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6270.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
6263.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
6250.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
6246.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6215.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6215.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
6215.1
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
6182.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
6145.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
6120.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
6110.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
6069.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
6067.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
6062.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6047.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6046.1
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
6021.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5994.8
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
5984.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5974.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
5947.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
5941.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5928.9
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
5918.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
5876.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
5870.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5868.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5864.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5860.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
5859.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5843.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
5832.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
5807.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
5799.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5798.0
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
5793.6
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5776.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
5769.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5747.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5745.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5739.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
5737.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5735.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5709.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
5697.4
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5696.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
5689.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
5686.0
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
5672.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5672.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5637.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
5616.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
5586.2
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5581.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
5552.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
5526.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5524.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
5482.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5472.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
5468.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5464.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
5436.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5431.1
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5430.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
5428.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5427.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
5415.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
5412.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5403.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
5402.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5393.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
5390.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
5375.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5370.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5320.7
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
5294.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
5293.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5278.9
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5267.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5266.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
5247.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
5186.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5162.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
5157.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5157.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
5152.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
5143.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
5105.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5101.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5062.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
5055.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5054.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5045.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
5043.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
5042.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5018.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
4997.5
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4994.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4977.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4968.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4965.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4941.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4933.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
4924.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
4911.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4885.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4882.3
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4875.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
4869.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4833.1
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
4815.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4807.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4804.1
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4790.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4785.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
4775.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
4771.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4764.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4757.5
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4745.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
4744.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4738.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4729.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4725.9
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
4721.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
4715.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4701.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
4693.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4690.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4687.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4682.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4678.8
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4674.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
4668.3
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4663.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4660.4
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4658.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
4649.7
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
4648.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
4626.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4597.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4586.8
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4574.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
4568.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4555.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4553.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4525.3
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4516.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4508.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4502.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
4490.8
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4488.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
4479.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4478.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4477.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4471.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4468.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4464.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4463.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
4463.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4459.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
4449.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4445.1
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
4438.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
4428.2
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4421.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
4414.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4412.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
4400.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4377.1
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4374.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4347.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4346.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4345.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4344.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4340.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4336.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4331.0
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4321.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4318.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4303.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4294.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4279.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4275.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4267.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4267.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4263.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4261.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
4260.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
4258.8
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4254.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
4244.1
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
4222.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4207.8
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4197.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4188.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
4182.2
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4178.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4178.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4176.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
4171.3
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4160.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4159.4
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
4158.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4153.5
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
4138.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4136.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4119.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4117.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4115.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
4109.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4098.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4093.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
4084.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4076.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4051.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
4043.1
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4035.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4023.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3990.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
3989.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3988.3
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3982.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3971.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3966.7
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
3961.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3954.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3953.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3945.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3942.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3928.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3928.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3928.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
3925.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3922.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3921.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3915.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3913.8
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3908.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3907.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3901.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3893.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3890.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3881.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3850.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3849.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3838.2
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3835.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3828.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
3824.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3815.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3814.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3807.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3803.6
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3795.7
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3783.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
3769.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3767.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3765.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3764.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3763.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3762.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3761.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3757.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3757.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3735.1
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3733.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
3733.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3729.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3716.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3707.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3694.0
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3691.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3687.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3653.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3641.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3640.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3636.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3631.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3621.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3619.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3610.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3601.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3601.2
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3595.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3592.8
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3592.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3587.4
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3582.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3569.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3569.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
3568.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3567.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3559.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3558.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3555.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3550.5
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3546.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3538.8
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
3530.8
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3522.6
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
3520.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3517.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3515.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3494.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3493.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
3490.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3468.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
3448.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3446.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3444.4
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3436.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3420.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3409.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3386.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3383.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
3378.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3377.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3376.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3360.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3357.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3345.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
3342.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3339.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3333.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3321.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3317.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
3316.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3313.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3310.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
3308.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3301.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3294.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3288.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
3280.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3232.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3231.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3220.7
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
3207.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3204.3
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3198.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3196.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
3186.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3185.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3152.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3151.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3150.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3148.5
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
3129.6
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
3113.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3096.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
3085.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3081.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3071.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3060.6
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3057.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3056.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
3029.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3029.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3020.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3010.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2988.4
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2984.2
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2979.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2974.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2970.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2960.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2956.3
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2956.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2952.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2934.9
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2913.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2903.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2892.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2859.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2857.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2856.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2846.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2843.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2841.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2833.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2832.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2821.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2808.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2792.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2783.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2772.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2755.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2669.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2664.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2663.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2654.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2644.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2639.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2615.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2613.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2613.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2607.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2589.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2588.7
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2574.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2566.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2536.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2530.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2520.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2515.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2473.4
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2460.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2456.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2435.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2407.9
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2407.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2398.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2376.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2372.6
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2363.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2362.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2358.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2325.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2322.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2319.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2312.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2303.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2303.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2285.6
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2276.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2270.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2251.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2192.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2184.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2178.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2160.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2160.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2113.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2076.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2060.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2059.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2033.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2017.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1985.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1891.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1881.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1872.2
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1831.3
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1817.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1810.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1789.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1781.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1715.6
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1712.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1697.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1680.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1679.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1662.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1583.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1553.8
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1552.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1552.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1552.1
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1528.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1432.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1400.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1388.1
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1339.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1280.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
951.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
944.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
633.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
619.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 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.
RPL10 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
3865.7
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
9279.2
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
9143.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
8139.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
7595.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
7582.7
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7477.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
7049.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
6634.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6403.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6384.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6262.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5741.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5730.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
5651.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
5577.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5302.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5138.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4850.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4761.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4755.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4753.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
4576.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4525.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4522.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4410.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4269.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
4265.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4232.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4211.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
4111.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
4079.9
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
4053.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4052.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4045.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4025.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4017.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3895.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3867.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3855.4
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3828.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3820.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3769.9
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3766.3
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3726.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3721.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
3683.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3661.6
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3646.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3545.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3511.6
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
3471.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3421.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3407.9
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3376.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3349.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3330.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
3312.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3300.9
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3286.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
3235.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3228.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3222.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3181.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
3179.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3158.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3137.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3136.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3122.6
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3121.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3021.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3021.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3010.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2995.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2988.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2978.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2938.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2875.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2863.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2789.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2732.1
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2716.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2683.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2552.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2536.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2533.4
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2492.1
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2341.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2305.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2302.8
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2290.3
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2159.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2131.9
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2040.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2013.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1898.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1804.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1780.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1602.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1175.2
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.
RPL10 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
2088.7
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
8554.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8216.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7533.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
6661.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6627.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
5754.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
5213.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4963.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
4783.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4553.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4459.6
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
4427.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4390.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4379.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4371.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4225.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4204.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
4134.4
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4102.8
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
4076.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4057.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4028.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3980.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3948.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
3839.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3825.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3778.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3744.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3632.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3602.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3595.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3592.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3568.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3426.9
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3423.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3405.2
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
3399.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3398.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3384.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3381.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3378.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3375.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3349.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
3305.4
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
3305.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3302.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3283.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3278.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3257.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3195.5
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3184.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3168.5
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3152.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3127.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3113.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3105.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3086.8
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3042.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3035.1
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2999.9
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2985.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2982.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2968.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2962.6
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2935.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2928.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2901.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2894.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2887.9
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2871.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2860.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2855.5
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2840.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2838.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2835.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2825.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2814.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2809.8
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2803.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2802.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2788.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2776.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2774.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2764.9
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2763.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2748.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2746.6
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2711.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2694.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2677.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2669.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2650.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2647.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2645.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2630.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2601.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2596.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2592.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2579.1
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2533.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2514.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2500.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2498.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2496.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2486.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2482.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2470.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2469.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2444.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2427.1
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2409.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2404.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2383.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2381.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2381.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2367.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2351.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2348.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2345.9
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2344.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2334.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2322.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2304.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2298.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2286.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2283.2
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2283.1
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2283.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2281.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2256.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2254.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2253.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2252.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2250.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2244.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2223.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2223.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2221.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2207.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2205.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2183.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2181.9
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2181.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2172.7
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2166.7
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2161.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2156.3
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2121.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2118.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2115.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2114.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2094.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2091.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2082.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2062.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2018.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2011.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1997.0
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1979.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1977.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1974.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1958.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1952.5
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1951.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1949.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1943.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1928.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1920.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1908.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1894.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1891.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1853.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1840.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1807.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1782.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1771.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1765.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1758.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1755.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1750.2
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1732.2
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1730.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1721.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1690.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1660.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1644.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1621.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1613.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1604.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1576.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1509.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1504.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1483.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1482.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1462.6
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1444.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1444.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1431.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1430.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1430.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1407.6
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1346.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1269.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1258.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1253.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1242.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1171.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1168.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1165.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1131.9
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1122.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
948.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
876.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
833.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
444.7
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
399.9
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
380.8
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
375.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
375.9
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
353.4
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
332.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
326.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
325.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
312.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
310.3
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
308.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
303.9
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
296.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
296.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
289.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
281.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
281.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
279.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
277.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
274.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
270.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
268.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
267.3
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
266.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
258.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
244.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
241.4
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
233.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
225.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
225.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
220.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
204.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
199.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
193.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
189.9
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
188.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
184.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
182.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
180.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
177.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
174.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
174.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
171.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
169.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
167.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
160.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
157.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
153.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
150.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
147.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
144.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
138.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
137.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
124.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
122.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
117.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
114.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
112.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
110.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
106.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
98.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
87.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
79.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
66.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
64.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
45.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
39.7
Show allShow less
RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
0.9
CPT0088550004
Tumor
0.8
CPT0001180009
Tumor
0.7
CPT0084560003
Tumor
0.6
CPT0012180003
Tumor
0.6
CPT0075130003
Tumor
0.6
CPT0002350011
Tumor
0.5
CPT0023350003
Tumor
0.5
CPT0012550003
Tumor
0.5
CPT0086950003
Tumor
0.5
CPT0009000003
Tumor
0.5
CPT0017850003
Tumor
0.4
CPT0079410003
Tumor
0.4
CPT0088690003
Tumor
0.4
CPT0088970003
Tumor
0.4
CPT0077110003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0011410003
Tumor
0.4
CPT0025880003
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0002270011
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0081600003
Tumor
0.3
CPT0025110003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0012370003
Tumor
0.3
CPT0086820003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0069000003
Tumor
0.2
CPT0001270001
Normal
0.2
CPT0001540009
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0079230003
Tumor
0.2
CPT0075170001
Normal
0.2
CPT0076350001
Normal
0.2
CPT0088480003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0088630003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0001190001
Normal
0.2
CPT0078830003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0078840001
Normal
0.2
CPT0092800003
Normal
0.2
CPT0088920001
Normal
0.1
CPT0092730003
Tumor
0.1
CPT0088780001
Normal
0.1
CPT0078990003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0024670003
Tumor
0.1
CPT0089480003
Normal
0.1
CPT0092190003
Normal
0.1
CPT0082010001
Normal
0.1
CPT0076330003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0012090003
Normal
0.1
CPT0086970003
Normal
0.1
CPT0079480003
Tumor
0.1
CPT0092740003
Normal
0.1
CPT0014370004
Tumor
0.1
CPT0086870003
Tumor
0.1
CPT0000890001
Normal
0.1
CPT0000640003
Tumor
0.1
CPT0012570003
Normal
0.1
CPT0085670003
Tumor
0.1
CPT0006440003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0021240003
Tumor
0.1
CPT0063630003
Tumor
0.0
CPT0078800003
Tumor
0.0
CPT0066470004
Tumor
0.0
CPT0020020001
Normal
0.0
CPT0078530001
Normal
0.0
CPT0079270003
Tumor
0.0
CPT0014130001
Normal
0.0
CPT0088900003
Tumor
0.0
CPT0001350001
Normal
0.0
CPT0087050003
Normal
0.0
CPT0013790003
Normal
0.0
CPT0065930003
Tumor
0.0
CPT0081990003
Tumor
0.0
CPT0092310003
Normal
0.0
CPT0019130003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0012770003
Normal
0.0
CPT0089040001
Normal
0.0
CPT0088570001
Normal
0.0
CPT0092160003
Tumor
0.0
CPT0015810003
Tumor
0.0
CPT0000780007
Tumor
0.0
CPT0089460004
Tumor
0.0
CPT0077500001
Normal
0.0
CPT0089020003
Tumor
0.0
CPT0007470001
Normal
0.0
CPT0088760003
Tumor
0.0
CPT0012280003
Tumor
0.0
CPT0075570001
Normal
0.0
CPT0086370003
Normal
0.0
CPT0025580004
Tumor
0.0
CPT0006730001
Normal
0.0
CPT0077140001
Normal
0.0
CPT0069010001
Normal
0.0
CPT0086830003
Normal
0.0
CPT0014470001
Normal
0.0
CPT0088710001
Normal
0.0
CPT0010170001
Normal
0.0
CPT0023360001
Normal
0.0
CPT0086890003
Normal
0.0
CPT0063640001
Normal
-0.1
CPT0081880003
Tumor
-0.1
CPT0026420001
Normal
-0.1
CPT0024680001
Normal
-0.1
CPT0017410003
Tumor
-0.1
CPT0092290003
Tumor
-0.1
CPT0025350003
Tumor
-0.1
CPT0017450001
Normal
-0.1
CPT0011240003
Tumor
-0.1
CPT0065450001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0006630003
Tumor
-0.1
CPT0012290003
Normal
-0.1
CPT0019990003
Tumor
-0.1
CPT0087040003
Tumor
-0.1
CPT0001500009
Tumor
-0.1
CPT0020130001
Normal
-0.1
CPT0007320003
Tumor
-0.1
CPT0000790001
Normal
-0.1
CPT0018250001
Normal
-0.1
CPT0025060001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0065820001
Normal
-0.1
CPT0079000001
Normal
-0.1
CPT0002370001
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0006950001
Normal
-0.1
CPT0066480003
Tumor
-0.1
CPT0078670001
Normal
-0.1
CPT0014160003
Tumor
-0.1
CPT0014350001
Normal
-0.1
CPT0066430001
Normal
-0.1
CPT0006530001
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0078940001
Normal
-0.1
CPT0012920003
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0063320003
Tumor
-0.2
CPT0006900003
Tumor
-0.2
CPT0069190001
Normal
-0.2
CPT0079380003
Tumor
-0.2
CPT0000660001
Normal
-0.2
CPT0025610001
Normal
-0.2
CPT0001510001
Normal
-0.2
CPT0001550001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0023690003
Tumor
-0.2
CPT0064370003
Tumor
-0.2
CPT0007870001
Normal
-0.2
CPT0079300001
Normal
-0.2
CPT0015730003
Tumor
-0.2
CPT0012900004
Tumor
-0.2
CPT0009020003
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0088640003
Normal
-0.2
CPT0077310003
Tumor
-0.2
CPT0023710001
Normal
-0.2
CPT0064400001
Normal
-0.2
CPT0025920001
Normal
-0.2
CPT0092790003
Tumor
-0.3
CPT0065750003
Tumor
-0.3
CPT0086030003
Tumor
-0.3
CPT0009060003
Tumor
-0.3
CPT0015910003
Tumor
-0.3
CPT0025170003
Tumor
-0.3
CPT0078510003
Tumor
-0.3
CPT0086360003
Tumor
-0.3
CPT0020120003
Tumor
-0.3
CPT0078660003
Tumor
-0.3
CPT0009080003
Normal
-0.3
CPT0078930003
Tumor
-0.3
CPT0007860003
Tumor
-0.3
CPT0065810003
Tumor
-0.4
CPT0065690003
Tumor
-0.4
CPT0075560003
Tumor
-0.4
CPT0025290003
Tumor
-0.4
CPT0012640003
Normal
-0.4
CPT0079180003
Tumor
-0.5
CPT0001230001
Normal
-0.6
Show allShow less
RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
