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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.
RPL37A 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
1410.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6615.6
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2951.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2583.8
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2428.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2011.8
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2009.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1962.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1863.5
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1788.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1782.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1745.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1605.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1590.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1587.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1583.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1571.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1553.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1511.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1504.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1480.5
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1454.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1439.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1433.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1423.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1402.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1399.5
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1394.3
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1346.6
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1339.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1322.7
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1307.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1302.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1295.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1291.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1285.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1278.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1267.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1222.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1191.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1171.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1165.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1156.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1106.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1085.0
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1067.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
1054.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1049.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1034.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1006.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
997.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
961.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
960.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
943.8
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
880.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
877.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
869.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
840.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
839.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
829.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
744.6
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
731.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
722.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
706.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL37A is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2888.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
14471.2
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
13191.7
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7298.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7246.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
6868.5
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6718.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6317.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6204.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6046.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6033.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5947.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5615.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5505.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5475.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5440.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
5320.9
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5282.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5270.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
5242.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5224.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
5190.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5117.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4986.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4946.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4928.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4921.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4915.1
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4909.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4886.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4865.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4855.4
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4847.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4845.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4738.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4662.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4628.9
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4621.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4607.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4555.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4510.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4508.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4478.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
4444.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
4423.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4305.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4304.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4289.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
4243.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4239.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4236.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4194.4
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4157.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4151.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
4144.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
4139.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
4126.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4119.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4113.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4103.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
4087.8
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4059.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4057.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4022.6
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
4021.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3992.7
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3972.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3967.1
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3946.7
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3924.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3921.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3905.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3876.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3874.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3870.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3863.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3844.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3827.2
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3820.9
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3778.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3778.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3777.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3767.3
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3767.2
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3758.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3752.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3745.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3716.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3706.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3694.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3685.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3675.7
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3672.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3670.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3666.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3649.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3648.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3645.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3631.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3624.4
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3618.9
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3611.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3608.7
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3583.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3575.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3565.3
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3558.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3551.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3538.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3525.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3518.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3509.8
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3505.6
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3497.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3490.6
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3486.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3485.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3470.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3449.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3443.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3441.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3440.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3430.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3429.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3427.9
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3427.5
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3426.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3424.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3421.0
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
3414.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3410.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3409.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3375.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3373.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3371.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3348.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3347.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3343.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3325.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3319.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3317.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3308.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3301.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3298.2
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
3283.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3281.7
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3277.4
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3274.7
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3271.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3271.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3270.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3263.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3255.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3247.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3241.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3240.0
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3239.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3238.9
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3235.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3229.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3219.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3211.8
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3207.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3204.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3202.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3196.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3194.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3192.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3188.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3179.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3175.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3171.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3171.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3163.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3144.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3136.1
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3131.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3121.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3120.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3119.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3113.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3103.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3085.4
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3077.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3075.9
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3064.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3062.3
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3058.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3031.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3030.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3028.4
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3027.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3025.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3018.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3016.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3002.3
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2997.0
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
2988.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2979.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2972.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2967.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2965.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2958.3
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2958.1
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2957.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2953.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2952.7
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2952.6
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2948.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2921.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2918.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2917.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2917.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2909.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2905.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2897.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2882.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
2881.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2880.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2878.4
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2876.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2871.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2869.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2857.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2851.7
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2851.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2844.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2838.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2837.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2835.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2834.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2834.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2834.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2834.0
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2831.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2829.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2828.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2822.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2820.9
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2820.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2812.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2810.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2808.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2802.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2799.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2796.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2774.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2758.8
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2751.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2749.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2748.4
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2745.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2740.0
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2737.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2733.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2729.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2721.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2720.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2717.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2717.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2711.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2709.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2702.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2700.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2697.7
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2694.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2683.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2670.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2668.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2665.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2659.8
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2651.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2647.9
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2645.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2643.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2639.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2635.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2633.8
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2632.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2630.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2627.9
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2626.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2621.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2615.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2613.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2606.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2604.9
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2601.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2598.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2598.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2597.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2586.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2584.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2584.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2578.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2578.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2576.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2571.5
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2564.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2564.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2562.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2554.0
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2552.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2536.7
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2536.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2531.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2525.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2519.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2517.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2507.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2506.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2505.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2505.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2498.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2498.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2498.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2495.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2490.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2489.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2487.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2478.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2471.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2470.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2465.9
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2457.6
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2451.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2446.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2441.2
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2437.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2424.9
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2420.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2419.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2410.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2401.4
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2393.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2390.7
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2385.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2383.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2381.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2380.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2379.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2368.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2363.9
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2360.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2356.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2353.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2351.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2349.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2344.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2343.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2343.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2335.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2333.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2333.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2332.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2316.6
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2311.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2308.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2306.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2306.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2304.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2294.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2292.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2266.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2263.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2248.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2247.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2240.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2239.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2234.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2233.7
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2230.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2229.8
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2226.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2225.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2215.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2215.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2212.3
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2211.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2211.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2204.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2204.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2202.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2193.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2169.8
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2165.6
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2164.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2159.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2149.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2147.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2132.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2132.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2132.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2131.7
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2128.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2128.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2128.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2111.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2100.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2097.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2096.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2095.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2086.7
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2085.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2080.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2076.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2073.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2067.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2062.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2055.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2052.6
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2045.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2041.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2041.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2038.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2038.1
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2036.9
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2033.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2032.3
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2029.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2029.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2021.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2012.2
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2001.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1995.5
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1995.0
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1983.6
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1979.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1975.9
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1973.3
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1970.2
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1961.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1949.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1946.0
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1941.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
1927.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1925.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1919.5
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1902.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1899.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1887.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1883.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1882.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1876.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1873.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1868.0
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1857.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1854.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1842.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1840.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1837.3
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1811.7
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1803.6
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1797.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1795.8
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1785.0
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1784.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1774.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1762.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1751.5
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1741.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1732.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1723.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1722.7
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1714.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1705.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1701.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1695.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1692.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
1691.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1683.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1683.2
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1682.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1681.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1672.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1662.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1651.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1646.1
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1617.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1616.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1615.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1614.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1605.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1595.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1586.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1577.4
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1563.5
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1556.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1517.7
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1514.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1493.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1483.3
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1447.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1411.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1406.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1398.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1395.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1353.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1335.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1300.1
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1257.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1254.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1246.4
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1239.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1235.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1230.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1194.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1182.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1168.6
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1098.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1070.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1019.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1003.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
986.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
966.2
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
961.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
935.1
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
829.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
823.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
675.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
539.6
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.
RPL37A 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
2999.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
9134.3
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5892.4
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5553.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5371.6
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5030.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4837.0
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
4573.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4514.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4513.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4378.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4307.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4305.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4277.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4274.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4249.8
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4239.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4194.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3987.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3926.4
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3818.9
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3804.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3745.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3738.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3735.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3718.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
3671.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3412.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3248.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3245.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3122.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3101.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3098.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3056.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3050.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3027.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3015.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2964.6
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2963.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2948.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2946.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2931.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2918.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2913.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2909.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2867.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2861.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2860.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2841.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2815.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2813.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2772.6
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2692.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2682.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2665.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2664.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2649.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2644.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2633.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2605.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2591.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2561.4
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2544.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2534.5
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2529.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2513.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2503.4
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2480.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2450.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2422.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2390.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2362.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2359.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2352.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2303.5
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2288.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2282.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2273.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2235.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2232.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2199.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2198.2
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2158.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2132.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2075.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2058.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2049.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2044.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2024.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2000.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1972.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1875.5
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1750.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1665.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1651.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1606.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1539.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1429.4
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1252.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1224.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL37A 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
2297.2
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
8317.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7464.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6706.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5989.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5977.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5553.6
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5339.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5319.2
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5139.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5132.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5053.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
4931.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4640.1
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4549.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4536.6
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
4478.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4470.5
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4446.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4312.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4286.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4273.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4155.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4123.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4086.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4077.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3880.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3859.9
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3858.8
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3822.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3770.8
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
3648.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3600.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
3593.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3587.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3582.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3500.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
3484.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3459.1
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3435.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
3410.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3290.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3281.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3242.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3230.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3194.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3192.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3181.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
3119.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3107.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3094.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3083.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3080.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3071.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3045.0
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
3034.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3020.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3009.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3007.8
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3006.0
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2994.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2984.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2983.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2969.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2927.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2915.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2893.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2847.3
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2843.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2843.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2826.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2784.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2768.1
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2765.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2764.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2740.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2728.6
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2711.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2710.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2708.2
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2696.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2691.1
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2688.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2673.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2651.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2628.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2626.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2609.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2602.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2594.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2581.8
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2567.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2535.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2523.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2512.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2480.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2446.0
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2436.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2421.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2419.3
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2412.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2405.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2403.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2397.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2397.3
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2385.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2381.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2365.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2311.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2306.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2298.0
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2297.9
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2276.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2269.7
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2268.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2268.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2257.1
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2256.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2244.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2240.2
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2229.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2191.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2166.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2165.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2164.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2158.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2154.2
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2130.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2126.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2126.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2112.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2109.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2102.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2100.8
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2092.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
2089.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2066.2
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2064.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2063.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2057.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2057.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2044.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2042.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2040.9
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2006.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2001.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1990.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1989.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1977.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1969.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1952.6
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1949.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1926.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1917.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1901.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1886.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1885.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1885.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1869.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1860.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1857.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1855.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1841.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1836.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1834.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1819.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1812.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1779.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1777.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1769.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1764.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1764.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1763.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1758.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1756.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1751.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1744.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1744.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1739.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1735.9
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1727.4
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1721.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1712.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1712.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1689.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1681.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1674.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1669.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1667.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1665.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1657.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1653.5
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1650.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1648.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1647.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1647.2
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1639.9
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1629.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1628.7
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1619.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1619.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1611.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1610.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1609.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
1608.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1606.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1599.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1589.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1564.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1563.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1554.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1553.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1552.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1542.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1532.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1523.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1515.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1511.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1502.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1493.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1490.7
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1479.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1477.6
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1471.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1461.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1459.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1458.2
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1436.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1426.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1422.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1398.5
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1386.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1362.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1356.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1347.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1339.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1336.6
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1333.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1299.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1295.7
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1295.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1290.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1289.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1282.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
1263.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1258.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1242.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1228.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1228.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1227.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1227.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1221.8
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1181.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1174.9
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1173.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
1137.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1094.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1071.3
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1070.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1066.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1052.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1034.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1025.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
987.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
904.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
895.6
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
891.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
883.2
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
881.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
869.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
846.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
837.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
836.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
815.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
808.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
807.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
784.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
781.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
736.5
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
636.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
558.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
196.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
69.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0011410003
Tumor
0.9
CPT0012550003
Tumor
0.9
CPT0001340003
Tumor
0.9
CPT0088550004
Tumor
0.8
CPT0001260009
Tumor
0.7
CPT0011240003
Tumor
0.6
CPT0065430003
Tumor
0.6
CPT0001270001
Normal
0.6
CPT0088690003
Tumor
0.6
CPT0002270011
Tumor
0.6
CPT0013790003
Normal
0.6
CPT0066470004
Tumor
0.6
CPT0084560003
Tumor
0.5
CPT0079410003
Tumor
0.5
CPT0081600003
Tumor
0.5
CPT0012180003
Tumor
0.5
CPT0069190001
Normal
0.5
CPT0085670003
Tumor
0.5
CPT0088760003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0009000003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0010110003
Tumor
0.4
CPT0010120001
Normal
0.4
CPT0012080003
Tumor
0.4
CPT0023350003
Tumor
0.4
CPT0088630003
Tumor
0.4
CPT0092730003
Tumor
0.4
CPT0081990003
Tumor
0.4
CPT0012920003
Normal
0.4
CPT0017850003
Tumor
0.4
CPT0078800003
Tumor
0.4
CPT0088900003
Tumor
0.4
CPT0019990003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0002350011
Tumor
0.3
CPT0086030003
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0001540009
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0025880003
Tumor
0.3
CPT0000640003
Tumor
0.3
CPT0078530001
Normal
0.3
CPT0020120003
Tumor
0.3
CPT0078830003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0025350003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0086950003
Tumor
0.2
CPT0088570001
Normal
0.2
CPT0086870003
Tumor
0.2
CPT0089020003
Tumor
0.2
CPT0075130003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0079180003
Tumor
0.2
CPT0086820003
Tumor
0.2
CPT0079480003
Tumor
0.2
CPT0069000003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0000890001
Normal
0.2
CPT0012280003
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0001500009
Tumor
0.2
CPT0012290003
Normal
0.2
CPT0012570003
Normal
0.2
CPT0023690003
Tumor
0.2
CPT0063320003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0006630003
Tumor
0.1
CPT0015810003
Tumor
0.1
CPT0025110003
Tumor
0.1
CPT0089460004
Tumor
0.1
CPT0088970003
Tumor
0.1
CPT0088920001
Normal
0.1
CPT0025050003
Tumor
0.1
CPT0006900003
Tumor
0.1
CPT0025060001
Normal
0.1
CPT0075170001
Normal
0.1
CPT0014370004
Tumor
0.1
CPT0012370003
Tumor
0.1
CPT0014470001
Normal
0.1
CPT0065930003
Tumor
0.1
CPT0092800003
Normal
0.1
CPT0069160003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0019130003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0078990003
Tumor
0.0
CPT0012090003
Normal
0.0
CPT0079230003
Tumor
0.0
CPT0026410003
Tumor
0.0
CPT0018250001
Normal
0.0
CPT0086360003
Tumor
0.0
CPT0001190001
Normal
0.0
CPT0009020003
Normal
0.0
CPT0064370003
Tumor
0.0
CPT0025580004
Tumor
0.0
CPT0000780007
Tumor
0.0
CPT0012900004
Tumor
0.0
CPT0086830003
Normal
0.0
CPT0020130001
Normal
0.0
CPT0012640003
Normal
0.0
CPT0017410003
Tumor
0.0
CPT0014130001
Normal
-0.1
CPT0025170003
Tumor
-0.1
CPT0077500001
Normal
-0.1
CPT0077310003
Tumor
-0.1
CPT0006730001
Normal
-0.1
CPT0092740003
Normal
-0.1
CPT0024670003
Tumor
-0.1
CPT0078510003
Tumor
-0.1
CPT0075720003
Tumor
-0.1
CPT0079510001
Normal
-0.1
CPT0078930003
Tumor
-0.1
CPT0079270003
Tumor
-0.1
CPT0078660003
Tumor
-0.1
CPT0024680001
Normal
-0.1
CPT0092290003
Tumor
-0.1
CPT0075560003
Tumor
-0.1
CPT0000870016
Tumor
-0.1
CPT0075570001
Normal
-0.1
CPT0066480003
Tumor
-0.1
CPT0086970003
Normal
-0.1
CPT0017450001
Normal
-0.1
CPT0076350001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0006440003
Tumor
-0.1
CPT0092790003
Tumor
-0.1
CPT0079380003
Tumor
-0.1
CPT0069010001
Normal
-0.2
CPT0082010001
Normal
-0.2
CPT0001350001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0088780001
Normal
-0.2
CPT0015910003
Tumor
-0.2
CPT0025290003
Tumor
-0.2
CPT0063630003
Tumor
-0.2
CPT0009060003
Tumor
-0.2
CPT0014160003
Tumor
-0.2
CPT0089040001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0065820001
Normal
-0.2
CPT0087040003
Tumor
-0.2
CPT0088500001
Normal
-0.2
CPT0007470001
Normal
-0.2
CPT0086370003
Normal
-0.3
CPT0025610001
Normal
-0.3
CPT0065810003
Tumor
-0.3
CPT0064400001
Normal
-0.3
CPT0019160001
Normal
-0.3
CPT0079430001
Normal
-0.3
CPT0078940001
Normal
-0.3
CPT0088640003
Normal
-0.3
CPT0063640001
Normal
-0.3
CPT0006530001
Normal
-0.3
CPT0078840001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0078670001
Normal
-0.3
CPT0087050003
Normal
-0.3
CPT0079000001
Normal
-0.3
CPT0015730003
Tumor
-0.3
CPT0021240003
Tumor
-0.3
CPT0076330003
Tumor
-0.3
CPT0000660001
Normal
-0.3
CPT0023360001
Normal
-0.3
CPT0092310003
Normal
-0.3
CPT0089480003
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0065690003
Tumor
-0.4
CPT0066520001
Normal
-0.4
CPT0079300001
Normal
-0.4
CPT0063330001
Normal
-0.4
CPT0020020001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0009080003
Normal
-0.4
CPT0088710001
Normal
-0.4
CPT0026420001
Normal
-0.4
CPT0010170001
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0001550001
Normal
-0.4
CPT0006950001
Normal
-0.4
CPT0001510001
Normal
-0.5
CPT0066430001
Normal
-0.5
CPT0065450001
Normal
-0.5
CPT0001230001
Normal
-0.5
CPT0023710001
Normal
-0.6
CPT0081880003
Tumor
-0.6
CPT0007860003
Tumor
-0.6
CPT0000790001
Normal
-0.7
CPT0012770003
Normal
-0.8
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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
