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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL39 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
1075.4
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4912.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4051.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2470.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2460.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2238.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2199.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2152.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2092.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2012.0
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1939.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1858.1
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1803.5
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1786.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1777.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1770.7
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1589.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1577.1
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1544.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1520.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1519.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1509.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1465.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1418.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1351.7
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1350.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1343.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1313.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1307.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1277.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1232.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1177.3
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1091.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1071.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1069.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
975.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
939.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
931.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
858.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
850.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
740.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
726.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
673.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
93.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
87.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
64.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
61.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
57.0
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
55.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
54.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
49.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
46.0
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
42.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
38.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
36.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
35.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
32.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
32.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
31.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
18.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
16.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
12.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
11.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
0.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL39 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
3285.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
15625.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
13407.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
12136.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
11063.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
10581.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
9004.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
8396.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
8328.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
8241.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
8067.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
7833.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
7734.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7316.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
7113.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7094.8
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
6916.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
6880.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6784.2
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
6768.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6744.1
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6558.9
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
6486.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6392.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6372.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
6272.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
6255.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
6176.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6099.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
6058.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5945.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
5797.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
5691.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5679.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
5637.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5629.1
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5621.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5619.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5599.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5577.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
5432.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
5421.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5398.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
5347.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5260.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
5098.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5066.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5051.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5003.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4956.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4939.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4817.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
4763.9
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4757.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4739.5
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4683.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4650.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4592.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4591.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4584.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4572.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4536.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4512.2
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4493.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4472.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4470.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4467.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4445.8
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4442.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
4441.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4440.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4427.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4419.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4411.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4409.6
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4395.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4362.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4355.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4331.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4284.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4265.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4239.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
4230.1
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4220.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4210.4
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4202.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4174.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4162.8
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4157.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4156.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4139.1
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4110.2
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4099.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4054.0
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4051.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
4012.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4006.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3993.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3988.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3982.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3979.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3976.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3973.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3972.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3963.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3944.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3931.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3917.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3915.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3906.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3893.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3889.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3884.7
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3875.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3868.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3852.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3848.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3815.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3814.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3798.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3798.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3788.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3787.1
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3777.7
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3775.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3774.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3772.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3770.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3762.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3757.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3756.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3750.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3744.4
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3740.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3732.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3719.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3717.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3714.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3704.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3692.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3685.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3681.8
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3678.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3675.4
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3660.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3660.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3655.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3654.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3643.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3635.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3627.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3620.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3604.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3597.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3597.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3593.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3586.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3565.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3563.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
3525.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3524.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3521.0
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3514.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3509.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
3500.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3500.2
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3498.8
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3496.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3495.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3494.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3491.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3489.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3466.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3436.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3424.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3422.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3413.9
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3413.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3406.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3403.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3402.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3399.5
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3387.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3383.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3379.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3376.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3374.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3374.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3369.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3359.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3356.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
3355.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3338.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3333.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3318.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3317.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3297.6
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3296.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3295.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3292.3
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3290.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3290.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3282.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3281.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3278.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3273.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3270.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3267.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3267.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3265.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3262.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3257.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3254.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3249.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3249.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3249.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
3245.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3232.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3229.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
3223.3
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3221.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3217.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3217.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3217.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3204.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3203.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3189.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3183.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3182.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3173.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3169.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3158.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3148.0
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3147.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3146.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3134.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3126.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3122.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3119.0
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3115.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3092.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3078.3
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3073.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3071.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3067.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3061.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3060.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3053.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3036.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3026.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3024.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3010.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2990.7
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2989.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2984.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2981.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2966.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2965.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2956.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2953.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2940.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2939.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2938.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2924.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2924.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2924.1
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2922.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2916.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2914.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2902.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2888.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2887.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2881.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2880.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2880.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2880.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2878.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2877.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2875.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2871.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2864.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2859.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2842.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2839.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2834.0
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2829.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2827.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2821.3
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2816.6
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2813.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2806.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2800.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2798.7
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2786.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2785.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2783.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2777.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2772.2
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2769.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2767.4
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2759.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2757.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2756.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2755.4
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2747.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2741.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2740.9
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2733.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2726.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2721.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2714.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2711.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2701.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2701.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2696.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2695.1
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2690.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2690.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2686.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2664.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2664.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2655.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2643.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2639.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2635.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2633.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2632.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2630.9
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2627.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2622.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2612.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2609.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2608.6
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2596.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2594.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2578.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2569.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2561.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2559.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2556.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2554.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2553.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2552.4
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2545.7
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2540.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2538.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2537.4
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2535.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2522.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2521.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2516.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2514.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2509.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2504.7
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2500.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2498.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2497.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2495.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2494.0
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2478.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2477.6
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2477.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2472.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2469.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2465.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2461.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2459.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2455.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2454.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2449.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2448.7
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2447.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2445.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2439.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2437.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2429.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2429.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2423.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2420.9
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2418.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2409.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2400.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2391.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2384.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2381.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2379.6
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2375.3
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2375.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2365.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2363.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2363.1
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2359.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2357.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2348.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2347.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2345.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2338.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2337.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2336.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2333.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2331.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2328.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2326.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2323.0
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2320.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2316.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2295.8
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2287.9
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2287.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2273.4
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2265.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2264.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2263.8
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2261.3
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2255.9
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2252.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2248.9
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2247.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2246.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2245.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2244.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2239.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2236.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2233.2
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2230.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2224.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2223.6
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2222.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2219.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2218.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2207.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2205.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2202.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2198.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2195.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2183.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2183.4
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2178.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2167.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2155.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2146.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2141.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2135.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2132.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2114.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2108.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2101.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2100.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2087.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2079.4
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2078.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2078.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2076.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2065.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2054.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2048.3
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2045.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2043.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2019.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2012.4
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2008.6
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2000.8
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1960.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1958.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1956.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1952.7
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1942.4
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1941.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1936.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1933.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1920.0
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1916.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1914.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1905.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1902.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1899.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1891.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1888.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1878.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1876.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1820.9
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1792.7
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1772.3
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1771.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1767.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1764.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1764.2
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1751.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1751.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1750.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1741.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1729.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1728.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1709.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1703.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1701.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1693.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1675.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1662.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1629.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1621.7
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1609.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1598.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1573.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1528.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1528.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1523.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1515.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1491.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1347.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1298.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1277.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1237.1
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1224.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1136.4
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1135.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1126.1
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1089.3
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1075.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
967.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
907.5
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 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.
RPL39 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
3015.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8140.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7183.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
6479.7
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
6385.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
5836.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5724.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5276.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5194.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5169.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5048.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
5028.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4608.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
4448.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4432.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4262.4
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4122.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4087.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3995.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3925.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3835.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3773.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3766.4
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3638.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3626.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3527.7
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3522.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3441.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3372.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3361.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3330.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3265.3
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3261.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3240.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3176.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2993.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2992.8
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2970.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2908.9
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2902.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2868.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2834.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2805.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2792.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2778.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2725.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2725.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2724.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2715.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2700.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2677.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2640.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2622.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2617.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2586.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2583.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2571.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2557.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2556.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2515.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2507.9
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2501.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2483.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2475.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2420.0
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2380.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2369.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2326.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2295.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2290.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2275.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2261.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2238.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2235.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2229.7
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2187.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2167.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2156.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2152.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2129.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2118.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2060.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2038.5
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2034.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2034.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2000.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1977.5
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1900.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1890.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1863.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1836.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1704.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1683.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1669.5
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1660.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1543.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1438.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1364.7
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1011.5
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
995.4
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.
RPL39 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
1758.1
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6831.3
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
6621.5
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
6534.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6504.9
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
6135.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5144.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4872.3
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4856.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4739.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4435.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4413.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4293.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4181.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4172.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4134.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4055.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3930.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3871.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3712.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3697.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3685.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3618.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3509.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3505.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3441.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3422.8
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3372.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3360.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3333.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3284.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
3284.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3272.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3240.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3179.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3143.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3129.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3029.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3022.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3014.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3004.8
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2990.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2987.1
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2962.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2941.2
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2929.3
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2874.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
2868.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2867.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2823.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2800.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2758.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2758.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2747.7
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2745.9
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2745.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2734.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2723.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2720.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2703.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2701.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2696.7
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2651.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2638.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2576.5
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2539.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2520.6
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2511.5
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2510.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2481.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2473.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2465.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2452.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2431.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2422.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2416.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2405.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2396.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2387.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2365.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2357.1
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2354.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2352.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2330.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2326.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2294.9
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2293.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2288.4
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2282.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2275.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2248.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2247.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2231.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2227.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2183.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2173.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2160.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2159.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2154.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2150.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2139.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2136.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2127.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2123.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2100.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2090.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2088.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2085.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2081.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2050.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2046.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2031.1
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2027.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2020.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2008.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2007.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2004.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1981.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1980.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1979.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1975.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1970.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1952.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1942.5
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1938.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1936.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1918.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1908.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1897.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1897.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1895.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1842.4
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1838.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1830.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1826.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1822.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1811.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1801.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1800.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1796.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1795.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1778.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1768.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1767.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1764.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1759.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1741.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1730.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1711.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1701.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1697.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1697.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1683.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1679.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1665.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1662.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1655.7
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1646.7
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1632.8
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1631.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1608.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1606.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1605.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1586.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1579.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1577.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1577.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1571.1
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1566.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1551.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1547.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1539.1
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1538.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1534.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1514.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1508.2
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1468.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1460.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1443.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1409.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1400.7
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1396.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1379.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1358.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1343.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1341.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1340.5
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1333.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1331.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1326.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1294.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1280.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1278.5
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1266.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1233.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1218.3
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1162.3
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1160.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1137.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1132.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1121.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1091.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1057.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1055.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
995.7
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
941.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
930.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
918.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
855.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
849.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
813.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
575.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
201.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
138.1
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
130.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
128.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
121.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
120.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
105.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
104.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
98.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
95.5
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
85.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
82.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
78.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
77.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
76.7
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
76.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
70.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
69.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
67.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
66.4
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
66.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
65.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
65.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
62.6
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
61.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
56.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
54.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
51.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
50.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
47.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
45.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
45.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
41.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
39.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
39.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
39.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
38.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
34.9
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
33.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
32.8
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
31.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
30.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
28.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
27.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
25.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
25.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
23.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
22.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
21.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
21.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
21.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
16.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
16.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
15.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
15.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
15.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
15.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
14.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
14.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
10.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
10.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
6.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
0.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
0.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
0.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
0.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
0.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
0.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
0.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
0.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0023350003
Tumor
1.4
CPT0079410003
Tumor
1.1
CPT0017850003
Tumor
1.1
CPT0086950003
Tumor
1.1
CPT0019990003
Tumor
1.1
CPT0075130003
Tumor
1.0
CPT0025050003
Tumor
1.0
CPT0077490003
Tumor
0.9
CPT0012550003
Tumor
0.9
CPT0065430003
Tumor
0.9
CPT0001340003
Tumor
0.8
CPT0069000003
Tumor
0.8
CPT0011410003
Tumor
0.8
CPT0088690003
Tumor
0.8
CPT0002350011
Tumor
0.8
CPT0014450004
Tumor
0.8
CPT0079480003
Tumor
0.7
CPT0009000003
Tumor
0.7
CPT0088630003
Tumor
0.7
CPT0071150004
Tumor
0.7
CPT0069160003
Tumor
0.7
CPT0012180003
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0088900003
Tumor
0.6
CPT0088570001
Normal
0.6
CPT0088760003
Tumor
0.6
CPT0081600003
Tumor
0.6
CPT0025880003
Tumor
0.6
CPT0010160003
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0077110003
Tumor
0.5
CPT0077310003
Tumor
0.5
CPT0086030003
Tumor
0.5
CPT0085670003
Tumor
0.4
CPT0088970003
Tumor
0.4
CPT0012080003
Tumor
0.4
CPT0078990003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0001500009
Tumor
0.4
CPT0006630003
Tumor
0.4
CPT0079180003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0010110003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0000780007
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0001540009
Tumor
0.3
CPT0065870003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0089460004
Tumor
0.3
CPT0089020003
Tumor
0.3
CPT0088550004
Tumor
0.3
CPT0079230003
Tumor
0.3
CPT0092730003
Tumor
0.3
CPT0011240003
Tumor
0.3
CPT0010120001
Normal
0.2
CPT0013790003
Normal
0.2
CPT0069190001
Normal
0.2
CPT0087040003
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0079380003
Tumor
0.2
CPT0020120003
Tumor
0.2
CPT0024670003
Tumor
0.2
CPT0014370004
Tumor
0.2
CPT0077320001
Normal
0.2
CPT0012370003
Tumor
0.2
CPT0079270003
Tumor
0.2
CPT0017410003
Tumor
0.2
CPT0075170001
Normal
0.1
CPT0000890001
Normal
0.1
CPT0081990003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0026410003
Tumor
0.1
CPT0006900003
Tumor
0.1
CPT0063630003
Tumor
0.1
CPT0025350003
Tumor
0.1
CPT0065930003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0012900004
Tumor
0.1
CPT0065690003
Tumor
0.0
CPT0025110003
Tumor
0.0
CPT0088920001
Normal
0.0
CPT0014470001
Normal
0.0
CPT0063320003
Tumor
0.0
CPT0077500001
Normal
0.0
CPT0001270001
Normal
0.0
CPT0075560003
Tumor
0.0
CPT0081880003
Tumor
0.0
CPT0086970003
Normal
0.0
CPT0066480003
Tumor
0.0
CPT0078930003
Tumor
0.0
CPT0015730003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0069010001
Normal
0.0
CPT0023690003
Tumor
0.0
CPT0012570003
Normal
0.0
CPT0012290003
Normal
0.0
CPT0092800003
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0065810003
Tumor
-0.1
CPT0081620001
Normal
-0.1
CPT0025610001
Normal
-0.1
CPT0078830003
Tumor
-0.1
CPT0000870016
Tumor
-0.1
CPT0092740003
Normal
-0.1
CPT0084590001
Normal
-0.1
CPT0064370003
Tumor
-0.1
CPT0001180009
Tumor
-0.1
CPT0025060001
Normal
-0.2
CPT0075570001
Normal
-0.2
CPT0007860003
Tumor
-0.2
CPT0078530001
Normal
-0.2
CPT0078660003
Tumor
-0.2
CPT0024680001
Normal
-0.2
CPT0075720003
Tumor
-0.2
CPT0001350001
Normal
-0.2
CPT0006950001
Normal
-0.2
CPT0088780001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0082010001
Normal
-0.3
CPT0092190003
Normal
-0.3
CPT0018250001
Normal
-0.3
CPT0002270011
Tumor
-0.3
CPT0006730001
Normal
-0.3
CPT0084560003
Tumor
-0.3
CPT0001220008
Tumor
-0.3
CPT0076330003
Tumor
-0.3
CPT0087050003
Normal
-0.3
CPT0007320003
Tumor
-0.3
CPT0015910003
Tumor
-0.3
CPT0065750003
Tumor
-0.4
CPT0086820003
Tumor
-0.4
CPT0012090003
Normal
-0.4
CPT0007470001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0079510001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0019130003
Tumor
-0.4
CPT0020130001
Normal
-0.4
CPT0000640003
Tumor
-0.4
CPT0066520001
Normal
-0.4
CPT0025290003
Tumor
-0.4
CPT0086870003
Tumor
-0.4
CPT0078670001
Normal
-0.4
CPT0026420001
Normal
-0.4
CPT0086360003
Tumor
-0.4
CPT0078840001
Normal
-0.5
CPT0089480003
Normal
-0.5
CPT0012920003
Normal
-0.5
CPT0002370001
Normal
-0.5
CPT0019160001
Normal
-0.5
CPT0063330001
Normal
-0.5
CPT0078800003
Tumor
-0.5
CPT0023710001
Normal
-0.5
CPT0009020003
Normal
-0.5
CPT0088710001
Normal
-0.6
CPT0023360001
Normal
-0.6
CPT0078940001
Normal
-0.6
CPT0001190001
Normal
-0.6
CPT0063640001
Normal
-0.6
CPT0009060003
Tumor
-0.6
CPT0077140001
Normal
-0.6
CPT0017450001
Normal
-0.6
CPT0025920001
Normal
-0.6
CPT0078510003
Tumor
-0.7
CPT0086370003
Normal
-0.7
CPT0001550001
Normal
-0.7
CPT0065450001
Normal
-0.7
CPT0012770003
Normal
-0.7
CPT0079300001
Normal
-0.7
CPT0000660001
Normal
-0.8
CPT0006440003
Tumor
-0.8
CPT0001510001
Normal
-0.8
CPT0088640003
Normal
-0.8
CPT0065820001
Normal
-0.8
CPT0012640003
Normal
-0.8
CPT0089040001
Normal
-0.8
CPT0014160003
Tumor
-0.8
CPT0012280003
Tumor
-0.9
CPT0000790001
Normal
-0.9
CPT0079430001
Normal
-0.9
CPT0088500001
Normal
-0.9
CPT0066470004
Tumor
-0.9
CPT0010170001
Normal
-0.9
CPT0009080003
Normal
-0.9
CPT0064400001
Normal
-0.9
CPT0092310003
Normal
-0.9
CPT0020020001
Normal
-0.9
CPT0014350001
Normal
-1.0
CPT0007870001
Normal
-1.1
CPT0079000001
Normal
-1.1
CPT0066430001
Normal
-1.2
CPT0006530001
Normal
-1.4
CPT0001230001
Normal
-2.0
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
