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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.
RPL41 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
2331.9
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
8774.4
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
8042.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
6044.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
5378.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
5321.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
5127.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
4956.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
4396.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
4309.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
4180.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
4179.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
4080.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
3918.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
3885.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3835.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
3794.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3789.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
3645.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3602.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3592.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3554.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3360.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
3355.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
3297.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2901.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2900.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2786.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2731.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2518.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
2428.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2407.8
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2305.0
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2139.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2069.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1954.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1942.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1928.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1866.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1850.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1728.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1551.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1480.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
199.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
130.0
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
101.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
100.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
100.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
85.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
79.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
76.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
63.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
51.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
49.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
41.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
36.9
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
35.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
32.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
31.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
30.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
27.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
25.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
25.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
9.7
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL41 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
7154.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
16468.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
15828.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
15791.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
15788.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
15172.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
14529.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
14287.4
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
14163.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
14003.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
13898.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
13850.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
13659.6
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
13524.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
13418.4
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
13278.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
13235.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
13185.5
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
13118.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
12997.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
12848.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12621.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
12459.6
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
12425.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
12408.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
12358.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
12292.0
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
12234.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
12079.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
12071.4
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
11945.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
11942.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
11920.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
11813.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
11658.2
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
11494.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
11422.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
11295.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
11287.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
11230.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
11043.6
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
11021.8
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
11000.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
10865.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
10841.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10809.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
10747.1
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
10726.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
10708.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
10689.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
10669.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
10659.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
10626.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
10565.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
10509.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
10490.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
10416.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
10270.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
10257.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
10253.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
10193.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
10191.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
10150.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
10144.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
10132.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
10119.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
10060.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
10054.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10015.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
9951.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9940.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
9927.5
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
9910.6
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
9787.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
9783.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
9779.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
9731.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
9728.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
9725.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
9694.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
9656.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
9634.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
9630.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
9626.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
9524.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
9502.0
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
9484.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
9483.6
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
9479.2
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
9432.9
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
9428.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9418.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
9412.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
9387.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
9378.2
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
9359.2
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
9338.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
9302.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
9253.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
9236.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
9230.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
9213.2
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
9204.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
9121.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
9069.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9042.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
9025.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
9018.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
8971.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
8965.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
8947.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
8886.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
8881.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
8868.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
8847.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
8843.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
8813.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
8807.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
8796.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
8788.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
8778.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
8748.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
8735.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
8729.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
8717.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
8710.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
8704.6
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
8699.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
8686.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
8684.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
8679.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
8670.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
8669.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
8662.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
8662.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
8658.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
8654.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
8652.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
8649.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
8634.2
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8620.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
8613.6
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
8589.0
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
8582.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
8577.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
8548.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
8539.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
8502.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
8486.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
8476.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
8445.8
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
8442.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
8432.1
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
8424.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
8423.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
8414.1
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
8401.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
8391.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
8362.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
8359.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
8355.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
8346.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8343.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
8338.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
8292.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
8276.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
8266.9
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8248.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
8218.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
8202.8
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
8198.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
8169.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
8163.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
8160.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
8137.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
8115.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
8111.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
8110.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
8070.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8027.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
8016.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
7993.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
7970.6
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
7934.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
7905.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
7893.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7882.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
7882.3
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
7868.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
7835.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
7792.7
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
7791.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7787.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
7752.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
7693.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
7691.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
7672.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7670.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7662.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
7659.1
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
7657.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
7653.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
7614.1
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
7601.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
7598.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
7596.1
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
7592.3
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
7581.5
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7560.7
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
7554.2
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
7507.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
7481.1
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
7478.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
7466.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
7464.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7459.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
7443.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
7442.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
7435.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7409.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
7404.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
7396.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
7394.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7363.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
7358.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
7352.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
7328.6
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7327.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
7294.9
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
7283.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
7183.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
7166.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
7165.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
7123.8
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
7117.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
7107.3
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
7085.6
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7077.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
7024.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7020.3
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
7002.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
6995.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
6990.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6985.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6979.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6962.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
6951.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6932.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
6930.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
6928.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
6927.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
6920.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
6903.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6901.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
6885.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6883.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
6881.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
6879.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
6860.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
6844.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
6840.6
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
6840.3
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
6831.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
6820.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
6818.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
6818.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6807.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
6806.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
6803.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
6801.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6801.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
6793.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
6783.5
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
6766.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
6752.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
6750.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
6745.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
6743.0
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
6726.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
6717.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
6687.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
6672.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
6666.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
6661.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
6657.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
6657.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
6640.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6614.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
6611.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
6597.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
6593.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
6566.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6557.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
6556.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
6553.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
6551.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
6520.4
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
6513.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
6508.8
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
6507.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6502.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
6490.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6471.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
6467.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
6459.0
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
6452.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6439.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
6433.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
6423.4
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
6415.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
6404.2
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
6402.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
6397.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
6396.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6393.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
6392.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
6385.5
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
6385.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
6332.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6287.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
6273.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6270.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
6261.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6258.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
6251.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
6226.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6200.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
6198.9
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
6184.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
6176.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6157.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
6151.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
6151.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
6134.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
6127.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
6079.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
6062.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6038.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
6036.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
6034.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
6024.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
6014.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6001.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
5980.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5967.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
5959.8
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
5959.3
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
5944.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
5944.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
5926.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
5926.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
5874.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5861.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
5835.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
5833.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5813.4
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
5799.7
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5762.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
5756.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
5730.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
5729.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5727.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5692.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
5691.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5689.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5670.9
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5670.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
5639.5
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
5617.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5615.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5610.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5590.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
5586.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5586.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
5573.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
5565.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5554.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
5522.1
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
5504.0
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5474.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
5461.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
5454.6
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5453.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5446.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
5438.1
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
5415.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
5412.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5412.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5386.5
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
5369.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
5367.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
5365.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5364.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
5360.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5356.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
5354.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
5350.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
5348.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
5323.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5310.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
5306.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
5304.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5295.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5276.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
5255.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
5239.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
5214.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5203.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
5196.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
5183.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5154.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5100.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5099.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5082.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
5046.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
5043.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
5037.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
5022.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5003.9
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4980.6
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
4978.3
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4948.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4931.3
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4923.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
4909.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4897.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4889.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4854.4
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
4854.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4845.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
4835.8
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
4827.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4760.1
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
4721.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4698.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
4692.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4685.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
4668.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4619.0
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
4583.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
4579.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4566.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4559.8
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
4540.1
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
4446.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
4431.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4430.4
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4422.3
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
4401.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
4396.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4363.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
4356.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
4346.9
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4329.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4275.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4247.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
4235.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
4232.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
4181.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
4174.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
4159.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
4141.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4124.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
4103.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4056.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4031.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
4023.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3985.8
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3972.2
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3919.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
3911.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
3795.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3795.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3789.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
3789.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
3709.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3688.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
3664.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
3596.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3578.2
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3563.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3561.2
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
3559.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
3546.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
3513.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3511.7
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3501.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3451.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
3446.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3422.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
3410.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
3363.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3312.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3249.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
3241.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3167.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
3134.6
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3117.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3098.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2983.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2966.3
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2961.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2951.4
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2927.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2913.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2724.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2677.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
2640.2
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2560.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2519.0
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2402.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2356.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2330.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2120.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2014.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1853.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1821.6
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1758.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1757.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1675.9
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1358.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL41 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6935.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
19762.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
14984.8
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
13506.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
12580.9
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
11364.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
10877.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
10811.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
10471.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
10095.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
9719.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9676.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
9491.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9398.2
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
9342.3
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
9312.4
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
9137.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
8816.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8814.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
8472.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8336.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
8199.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
8085.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
7997.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
7989.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
7989.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7680.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
7645.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
7588.8
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
7588.0
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
7570.5
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
7518.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
7414.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7346.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
7231.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
7225.3
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
7171.0
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
7133.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
7112.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
7098.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
7068.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
7057.3
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
7038.1
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
6968.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
6941.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
6789.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
6775.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
6730.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
6597.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
6595.2
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
6520.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
6461.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6247.7
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
6215.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
6207.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6206.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
6173.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
6161.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
6121.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
6083.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6002.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5928.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5892.8
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5884.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
5878.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5813.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
5775.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
5759.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
5733.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
5659.4
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5642.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
5635.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
5604.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
5600.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
5526.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5469.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5419.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
5389.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
5381.2
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5308.7
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
5297.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
5263.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
5205.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5170.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
5079.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
5067.5
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4980.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
4899.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4713.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4649.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
4606.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
4567.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4557.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
4241.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
4148.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
3983.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
3709.6
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3134.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2888.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2465.6
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL41 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3308.0
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
13815.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
11894.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
10185.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
9683.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9584.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
9482.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8966.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
8592.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
8199.9
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
7974.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
7891.8
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
7485.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
7363.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7283.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
7131.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6946.1
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
6921.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
6889.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
6864.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
6814.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
6716.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
6701.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
6671.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
6642.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
6559.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
6542.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6533.8
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
6444.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6444.8
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6385.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
6339.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
6193.2
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
6072.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
6070.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5986.9
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
5920.3
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5885.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
5811.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5800.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
5720.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
5587.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
5553.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
5524.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
5524.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5509.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
5448.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
5295.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
5289.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
5277.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
5261.2
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
5215.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5202.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5199.7
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
5197.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
5142.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5140.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
5083.2
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5068.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
5049.0
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
4955.1
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4907.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4899.2
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4890.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4861.4
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4849.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
4844.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
4824.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4808.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
4784.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4777.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4776.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4765.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
4741.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4729.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
4705.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
4700.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
4697.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4672.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
4667.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4650.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
4648.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
4644.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
4607.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
4580.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4577.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4456.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4454.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4431.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4431.1
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4421.9
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
4402.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
4380.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4344.5
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
4328.7
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4323.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4317.0
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4238.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4207.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4194.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4190.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
4185.3
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
4181.5
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
4178.6
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
4173.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
4158.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4124.7
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4122.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4112.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
4100.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4097.4
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4095.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4078.1
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3997.0
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
3965.0
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3962.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3936.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
3928.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3919.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3914.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3901.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3897.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3894.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3872.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3847.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3830.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3810.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3806.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
3799.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3784.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3777.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
3740.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3695.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
3685.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
3674.2
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3628.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3618.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
3617.7
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3617.1
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
3591.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3493.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
3461.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3456.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3452.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3443.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3442.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
3417.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3388.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
3375.7
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
3373.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3371.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3354.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
3297.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3252.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3236.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3230.5
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3212.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3203.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3193.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
3148.4
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
3136.6
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3100.7
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3056.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3047.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2991.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2966.3
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2954.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
2948.3
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2946.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2937.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2890.8
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2889.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
2879.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2859.4
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2859.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2801.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2777.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2757.1
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2732.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2725.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2725.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2686.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2627.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2548.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2527.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2527.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2502.8
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2488.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2477.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2471.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2469.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2465.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2447.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2441.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2393.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2321.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2296.4
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2262.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2243.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2178.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2164.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2084.9
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1944.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1859.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1834.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1534.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1442.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1317.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1204.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1156.5
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1039.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
981.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
154.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
105.0
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
104.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
103.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
98.4
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
94.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
83.0
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
81.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
74.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
74.2
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
73.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
72.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
67.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
66.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
66.4
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
62.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
60.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
55.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
55.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
54.2
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
53.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
52.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
51.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
51.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
48.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
48.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
48.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
47.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
45.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
44.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
44.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
44.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
43.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
42.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
42.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
41.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
40.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
39.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
38.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
37.0
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
36.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
36.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
35.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
33.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
33.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
33.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
32.9
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
32.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
31.8
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
31.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
29.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
28.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
26.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
25.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
25.2
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
24.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
23.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
22.3
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
22.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
18.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
12.6
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
10.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
9.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
8.4
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
0.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
0.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
0.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
0.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
0.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
0.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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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
