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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.
RPL27A 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
1334.2
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6350.9
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
4586.7
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2624.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2524.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2475.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2456.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2311.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2236.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2110.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2023.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1972.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1970.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1948.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1920.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1898.5
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1851.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1799.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1786.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1725.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1646.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1622.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1583.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1569.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1495.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1443.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1437.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1432.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1301.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1181.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1143.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1123.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1089.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1049.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1023.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
967.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
949.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
948.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
881.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
855.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
836.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
826.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
726.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
703.8
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
701.7
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
691.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
689.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
678.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
600.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
588.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
584.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
572.4
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
564.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
551.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
549.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
510.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
509.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
458.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
450.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
415.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
413.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
399.8
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
397.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
375.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL27A is potential prognostic, high expression is unfavorable 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
2846.9
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
18399.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
8151.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
6852.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6705.1
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
6623.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6390.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6352.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6062.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5889.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
5713.3
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5656.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
5639.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
5450.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5432.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
5418.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5402.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
5155.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5127.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5067.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5000.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4994.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4992.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4948.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4874.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4859.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4835.8
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4750.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4739.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4709.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4686.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4659.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4632.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4592.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4499.5
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4467.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4421.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4407.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4381.2
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4366.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4320.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4302.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4264.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
4234.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4228.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
4227.9
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4207.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
4181.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
4115.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
4109.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4086.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4068.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4062.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4056.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4036.2
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4035.3
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4032.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4019.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
4011.8
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3990.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3975.7
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3975.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3972.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3962.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3939.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3927.2
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3892.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3891.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3841.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3833.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3780.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3762.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3762.0
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
3748.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3747.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3744.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3736.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3733.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3717.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3687.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3679.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3677.6
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3667.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3655.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3645.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3626.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3618.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3617.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3608.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3593.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3576.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3531.5
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3529.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3522.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3492.8
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3469.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3462.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3460.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3458.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3452.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3446.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3440.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3431.5
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3422.8
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3410.6
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3397.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3396.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3394.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3373.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3364.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3353.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3352.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3328.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3323.3
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3314.9
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3312.6
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3311.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3307.0
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3298.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3290.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3284.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3283.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3282.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3274.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3263.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
3236.8
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3236.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3234.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3210.7
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3196.8
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3179.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3179.0
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3166.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3162.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3162.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3161.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3157.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
3153.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3152.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3146.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3143.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3135.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3133.8
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3132.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3130.3
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3128.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3118.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3118.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3115.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3113.3
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3112.0
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3109.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3109.2
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3107.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3103.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3103.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3101.5
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3101.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3098.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3089.1
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3086.4
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3079.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3075.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3074.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3073.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3069.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3062.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3048.7
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3038.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3033.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3026.3
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3008.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3001.7
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2998.5
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2997.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2991.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2987.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2985.9
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2984.9
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2975.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2965.5
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2963.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2950.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2940.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2936.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2929.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2924.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2924.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2920.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2917.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2916.7
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2914.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2895.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2890.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2889.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2881.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2879.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2874.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2874.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2866.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2855.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2850.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2850.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2842.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2841.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2839.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2831.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2829.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2826.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2824.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2820.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2820.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2816.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2816.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2814.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2802.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2797.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2796.2
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2793.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2790.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2787.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2781.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2777.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2775.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2770.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2770.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2765.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2761.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2759.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2758.9
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2758.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2745.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2745.4
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2740.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2740.0
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2736.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2736.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2732.6
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2731.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2730.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2728.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2725.8
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2723.2
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2709.9
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2709.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2708.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2707.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2700.5
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2698.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2695.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2678.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2673.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2670.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2669.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2659.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2659.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2657.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2656.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2656.4
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2654.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2653.4
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2652.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2651.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2649.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2641.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2641.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2635.8
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2628.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2627.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2625.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2622.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2615.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2612.0
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2607.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2601.3
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2596.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2595.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2593.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2588.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2583.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2580.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2577.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2575.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2565.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2550.5
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2548.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2547.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2547.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2547.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2546.7
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2539.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2534.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2531.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2531.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2528.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2528.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2517.4
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2517.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2515.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2513.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2512.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2511.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2509.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2509.0
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2508.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2508.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2507.7
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2495.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2492.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2491.7
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2473.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2473.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2469.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2468.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2458.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2458.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2453.7
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2453.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2449.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2448.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2443.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2441.4
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2441.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2438.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2437.9
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2434.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2433.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2430.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2427.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2415.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2414.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2412.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2412.2
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2402.8
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2399.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2399.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2397.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2389.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2388.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2378.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2369.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2359.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2355.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2353.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2352.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2351.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2348.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2344.6
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2335.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2333.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2332.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2331.5
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2326.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2325.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2319.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2318.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2313.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2306.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2303.2
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2299.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2298.7
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2298.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2281.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2280.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2267.4
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2259.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2255.0
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2230.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2227.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2226.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2222.1
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2219.8
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2218.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2217.0
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2211.8
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2208.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2204.4
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2199.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2196.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2196.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2191.6
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2189.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2186.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2185.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
2183.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2183.3
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2180.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2178.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2173.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2172.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2171.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2170.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2168.5
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2168.2
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2158.4
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2156.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2149.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2148.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2145.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2136.1
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2131.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2131.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2129.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2128.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2127.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2119.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2108.4
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2107.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2098.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2093.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2087.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2085.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2079.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2078.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2075.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2074.2
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2067.8
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2066.0
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2065.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2061.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2060.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2059.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2057.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2053.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2047.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2043.7
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2039.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2036.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2035.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2026.8
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2023.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2021.2
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2020.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2020.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2016.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2016.1
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2015.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2007.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2002.3
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1999.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1998.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1998.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1983.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1983.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1982.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1981.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1979.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1977.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1971.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1969.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1968.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1964.5
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1963.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1962.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1934.7
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1933.8
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1926.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1925.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1912.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1911.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1909.2
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1908.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1904.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1901.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1894.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1891.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1888.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1888.4
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1882.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1870.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1863.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1854.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1851.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1843.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1834.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1830.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1826.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1788.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1773.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1770.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1756.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1753.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1751.9
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1732.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1729.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1715.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1703.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1697.6
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1696.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1690.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1663.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1662.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1658.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1647.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1642.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1631.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1629.9
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1626.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1587.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1581.2
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1558.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1556.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1533.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1493.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1449.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1424.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1402.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1396.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1359.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1297.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1284.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1250.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1210.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1199.2
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1194.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1145.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1089.0
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
964.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
936.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
936.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
678.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL27A is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1727.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4784.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3984.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3298.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3110.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3070.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3055.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2881.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2710.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2415.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2369.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2336.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2331.6
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2314.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2259.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2253.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2216.8
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2208.5
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2175.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2123.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2115.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2097.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2097.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2095.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2094.8
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2082.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2074.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2070.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2065.0
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2022.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2009.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1993.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1988.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1935.1
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1926.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1919.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1916.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1859.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1796.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1775.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1767.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1761.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1725.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1703.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1683.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1646.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1645.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1627.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1622.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1604.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1587.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1564.6
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1559.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1552.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1540.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1522.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1522.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1512.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1501.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1497.6
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1496.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1483.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1459.7
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1458.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1438.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1426.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1414.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1389.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1377.5
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1350.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1349.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1323.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1309.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1299.1
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1278.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1269.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1267.6
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1264.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1260.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1258.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1253.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1252.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1236.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1229.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1215.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1198.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1143.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1136.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1117.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1109.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1095.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1079.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1074.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
978.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
924.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
923.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
903.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
872.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
753.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
663.8
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.
RPL27A 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
2116.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
8994.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
8755.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
6823.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6123.3
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
5381.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5378.4
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4861.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4726.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4653.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4591.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4421.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4369.1
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4246.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4121.7
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4118.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4029.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4021.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3964.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3844.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3821.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3790.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3757.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3662.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3651.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3604.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3601.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3568.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3558.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
3460.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3459.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3440.9
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3422.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3396.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3381.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3372.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3337.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3320.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3310.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3304.5
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3289.8
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3180.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3145.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3124.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3050.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3021.6
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3015.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3009.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
2984.6
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2962.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2961.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2923.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2920.1
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2892.8
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2891.3
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2858.2
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2846.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2840.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2839.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2837.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2830.6
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2810.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2809.9
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2787.2
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2777.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2776.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2766.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2758.3
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2754.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2741.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2738.6
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2704.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2697.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2669.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2654.5
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2638.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2621.2
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2598.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2591.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2575.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2572.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2571.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2542.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2527.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2525.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2517.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2506.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2450.7
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2450.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2447.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2436.1
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2421.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2414.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2399.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2390.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2372.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2367.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2358.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2354.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2354.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2340.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2339.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2338.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2328.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2327.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2306.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2298.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2296.3
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2296.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2286.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2278.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2273.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2256.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2255.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2233.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2218.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2217.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2214.0
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2211.4
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2199.7
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2195.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2189.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2188.9
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2176.6
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2176.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2174.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2165.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2159.1
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2157.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2154.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2151.4
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2134.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2132.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2128.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2114.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2111.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2104.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2086.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2076.9
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2066.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2060.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2056.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2050.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2040.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2031.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2027.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2023.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2019.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2015.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2007.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2002.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1985.5
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1977.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1968.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1941.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1938.2
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1911.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1900.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1884.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1875.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1871.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1866.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1862.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1861.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1857.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1832.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1831.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1829.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1822.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1817.8
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1746.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1745.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1741.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1719.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1697.2
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1689.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1687.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1684.7
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1679.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1658.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1647.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1635.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1608.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1603.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1594.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1587.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1586.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1583.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1576.1
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1572.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1567.3
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1552.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1522.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1512.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1510.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1509.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1503.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1483.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1467.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1459.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1426.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1422.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1403.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1401.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1394.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1376.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1350.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1328.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1327.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1326.5
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1318.6
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1302.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1284.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1284.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1222.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1215.8
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1204.2
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1197.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1186.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1182.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1177.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1128.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1119.8
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1090.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1072.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1069.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1067.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1054.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1051.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1048.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1048.5
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1033.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1011.6
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1001.4
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
988.6
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
963.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
962.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
944.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
936.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
933.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
890.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
884.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
884.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
880.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
879.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
853.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
837.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
813.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
812.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
756.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
733.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
717.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
709.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
700.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
667.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
644.1
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
640.1
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
621.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
604.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
599.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
575.1
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
574.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
560.5
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
557.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
536.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
493.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
489.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
460.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
449.3
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
441.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
435.2
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
433.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
428.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
426.6
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
421.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
401.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
396.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
381.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
331.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
290.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
278.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
269.9
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
55.4
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.1
CPT0012550003
Tumor
1.0
CPT0023350003
Tumor
1.0
CPT0017850003
Tumor
0.9
CPT0001180009
Tumor
0.9
CPT0002350011
Tumor
0.8
CPT0088480003
Tumor
0.8
CPT0011410003
Tumor
0.8
CPT0081880003
Tumor
0.8
CPT0088970003
Tumor
0.7
CPT0065430003
Tumor
0.7
CPT0084560003
Tumor
0.7
CPT0079410003
Tumor
0.6
CPT0065930003
Tumor
0.6
CPT0002270011
Tumor
0.6
CPT0024670003
Tumor
0.6
CPT0069160003
Tumor
0.6
CPT0086950003
Tumor
0.5
CPT0088690003
Tumor
0.5
CPT0078800003
Tumor
0.5
CPT0077110003
Tumor
0.5
CPT0077490003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0012670003
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0012180003
Tumor
0.5
CPT0066470004
Tumor
0.5
CPT0086030003
Tumor
0.4
CPT0025880003
Tumor
0.4
CPT0079480003
Tumor
0.4
CPT0015730003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0001340003
Tumor
0.4
CPT0025050003
Tumor
0.4
CPT0086820003
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0001540009
Tumor
0.4
CPT0079380003
Tumor
0.4
CPT0085670003
Tumor
0.4
CPT0001220008
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0012080003
Tumor
0.3
CPT0069000003
Tumor
0.3
CPT0065750003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0089460004
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0081600003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0075130003
Tumor
0.2
CPT0092730003
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0001260009
Tumor
0.2
CPT0079230003
Tumor
0.2
CPT0001500009
Tumor
0.2
CPT0078830003
Tumor
0.2
CPT0092160003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0079180003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0092290003
Tumor
0.2
CPT0078990003
Tumor
0.2
CPT0024680001
Normal
0.2
CPT0075170001
Normal
0.2
CPT0012280003
Tumor
0.2
CPT0010120001
Normal
0.1
CPT0088900003
Tumor
0.1
CPT0025110003
Tumor
0.1
CPT0088760003
Tumor
0.1
CPT0021240003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0077310003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0001270001
Normal
0.1
CPT0000780007
Tumor
0.1
CPT0084590001
Normal
0.1
CPT0078660003
Tumor
0.1
CPT0065810003
Tumor
0.1
CPT0088570001
Normal
0.0
CPT0065870003
Tumor
0.0
CPT0086870003
Tumor
0.0
CPT0063630003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0063320003
Tumor
0.0
CPT0088920001
Normal
0.0
CPT0012900004
Tumor
0.0
CPT0086360003
Tumor
0.0
CPT0025170003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0017410003
Tumor
0.0
CPT0006630003
Tumor
0.0
CPT0077500001
Normal
0.0
CPT0020120003
Tumor
0.0
CPT0012920003
Normal
0.0
CPT0064370003
Tumor
0.0
CPT0019130003
Tumor
0.0
CPT0014470001
Normal
0.0
CPT0086970003
Normal
0.0
CPT0069190001
Normal
-0.1
CPT0076350001
Normal
-0.1
CPT0001190001
Normal
-0.1
CPT0014370004
Tumor
-0.1
CPT0087040003
Tumor
-0.1
CPT0065690003
Tumor
-0.1
CPT0025350003
Tumor
-0.1
CPT0026420001
Normal
-0.1
CPT0075560003
Tumor
-0.1
CPT0088780001
Normal
-0.1
CPT0025060001
Normal
-0.1
CPT0092800003
Normal
-0.1
CPT0006440003
Tumor
-0.1
CPT0075720003
Tumor
-0.1
CPT0012090003
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0078530001
Normal
-0.1
CPT0006730001
Normal
-0.2
CPT0013790003
Normal
-0.2
CPT0023690003
Tumor
-0.2
CPT0089040001
Normal
-0.2
CPT0011240003
Tumor
-0.2
CPT0066480003
Tumor
-0.2
CPT0014130001
Normal
-0.2
CPT0000640003
Tumor
-0.2
CPT0082010001
Normal
-0.2
CPT0092310003
Normal
-0.2
CPT0086890003
Normal
-0.2
CPT0009060003
Tumor
-0.2
CPT0012570003
Normal
-0.2
CPT0092740003
Normal
-0.2
CPT0018250001
Normal
-0.2
CPT0075570001
Normal
-0.2
CPT0069010001
Normal
-0.2
CPT0000890001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0088710001
Normal
-0.2
CPT0000870016
Tumor
-0.2
CPT0087050003
Normal
-0.2
CPT0012640003
Normal
-0.3
CPT0009020003
Normal
-0.3
CPT0086370003
Normal
-0.3
CPT0079270003
Tumor
-0.3
CPT0019160001
Normal
-0.3
CPT0025290003
Tumor
-0.3
CPT0063640001
Normal
-0.3
CPT0064400001
Normal
-0.3
CPT0001350001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0012290003
Normal
-0.3
CPT0020130001
Normal
-0.3
CPT0089480003
Normal
-0.3
CPT0078930003
Tumor
-0.3
CPT0023360001
Normal
-0.3
CPT0023710001
Normal
-0.3
CPT0006900003
Tumor
-0.3
CPT0081620001
Normal
-0.3
CPT0065450001
Normal
-0.4
CPT0078670001
Normal
-0.4
CPT0010170001
Normal
-0.4
CPT0007470001
Normal
-0.4
CPT0086830003
Normal
-0.4
CPT0077140001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0014350001
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0017450001
Normal
-0.4
CPT0066430001
Normal
-0.4
CPT0088640003
Normal
-0.4
CPT0020020001
Normal
-0.4
CPT0014160003
Tumor
-0.4
CPT0078510003
Tumor
-0.4
CPT0001550001
Normal
-0.4
CPT0079430001
Normal
-0.4
CPT0006950001
Normal
-0.5
CPT0009080003
Normal
-0.5
CPT0025610001
Normal
-0.5
CPT0025920001
Normal
-0.5
CPT0088500001
Normal
-0.5
CPT0007860003
Tumor
-0.5
CPT0066520001
Normal
-0.5
CPT0000660001
Normal
-0.5
CPT0001510001
Normal
-0.6
CPT0079000001
Normal
-0.6
CPT0065820001
Normal
-0.6
CPT0006530001
Normal
-0.6
CPT0012770003
Normal
-0.6
CPT0015910003
Tumor
-0.6
CPT0063330001
Normal
-0.6
CPT0007870001
Normal
-0.7
CPT0079300001
Normal
-0.7
CPT0001230001
Normal
-0.7
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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
