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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.
RPL35A 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
548.4
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
3460.9
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1231.2
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
993.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
939.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
890.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
880.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
833.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
776.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
767.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
753.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
748.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
723.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
718.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
715.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
712.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
693.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
673.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
669.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
664.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
652.1
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
647.4
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
618.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
603.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
585.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
565.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
557.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
543.4
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
509.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
506.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
498.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
497.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
484.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
480.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
469.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
468.8
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
426.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
422.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
420.7
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
412.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
405.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
375.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
364.4
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
345.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
340.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
335.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
321.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
310.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
304.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
302.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
301.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
298.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
294.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
286.2
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
282.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
279.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
273.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
272.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
209.1
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
202.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
201.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
167.2
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
151.4
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
136.0
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 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.
RPL35A 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
905.1
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2684.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
2432.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2180.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
2087.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2060.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
2054.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1931.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
1918.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1907.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
1854.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1847.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1811.5
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
1804.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
1799.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1785.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1772.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
1772.6
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1751.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1751.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
1750.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1691.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
1666.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
1660.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
1657.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
1610.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1600.8
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
1595.5
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1585.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1575.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1567.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1567.0
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
1565.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1514.3
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1503.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1456.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
1452.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1449.7
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
1445.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
1430.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1418.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1406.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1406.4
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1396.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1383.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
1382.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
1377.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
1362.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1351.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
1349.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1348.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1338.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1331.3
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1325.7
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
1314.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1314.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1306.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1303.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
1301.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1300.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1300.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
1288.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1285.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1284.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1282.6
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
1275.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1272.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1258.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1253.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1248.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1240.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1231.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1231.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
1220.4
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1213.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1207.3
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
1203.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
1201.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
1194.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1193.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1183.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
1179.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1179.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1175.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1173.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1173.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
1171.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1167.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
1160.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1157.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1156.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1154.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1153.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1151.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1150.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1149.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1142.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
1137.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
1134.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
1132.4
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
1128.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
1116.8
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1116.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1116.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1113.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1109.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1106.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1105.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
1104.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
1102.6
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
1099.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
1099.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1096.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1095.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1092.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1089.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1086.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1085.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
1084.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1084.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
1081.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1078.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1077.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1076.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1072.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
1066.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1065.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1064.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1058.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1055.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1051.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1048.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1046.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
1043.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1042.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1039.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1034.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1034.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
1033.6
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1032.2
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1026.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
1024.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1024.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1022.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1021.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1021.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1017.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1015.2
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1010.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1006.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1002.0
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1001.2
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
999.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
998.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
998.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
997.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
996.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
993.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
991.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
989.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
987.5
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
985.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
984.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
983.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
982.4
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
982.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
980.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
973.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
973.6
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
973.2
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
973.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
971.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
969.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
968.0
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
966.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
966.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
965.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
963.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
959.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
959.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
958.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
956.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
953.5
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
950.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
950.2
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
948.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
947.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
947.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
947.8
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
946.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
946.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
943.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
942.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
941.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
941.3
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
940.8
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
940.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
938.0
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
937.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
934.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
930.7
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
930.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
926.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
926.5
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
926.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
924.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
922.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
922.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
921.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
920.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
918.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
917.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
916.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
915.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
914.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
910.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
909.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
908.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
908.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
905.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
905.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
903.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
902.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
901.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
900.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
898.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
896.0
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
895.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
894.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
893.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
892.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
892.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
891.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
890.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
889.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
888.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
887.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
886.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
886.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
882.8
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
881.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
880.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
879.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
879.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
878.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
875.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
875.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
873.5
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
873.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
872.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
872.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
871.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
868.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
867.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
864.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
864.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
864.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
864.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
863.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
862.3
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
861.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
860.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
857.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
856.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
854.9
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
854.3
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
854.2
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
850.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
850.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
848.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
847.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
846.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
844.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
842.4
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
838.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
837.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
835.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
833.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
831.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
831.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
829.1
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
826.6
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
821.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
821.2
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
820.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
819.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
818.8
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
818.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
816.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
814.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
812.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
811.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
811.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
808.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
807.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
807.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
807.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
806.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
803.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
801.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
801.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
800.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
798.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
797.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
794.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
794.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
793.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
788.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
783.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
782.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
781.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
781.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
781.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
780.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
775.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
773.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
772.9
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
772.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
771.5
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
769.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
765.5
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
763.3
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
760.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
760.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
759.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
757.6
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
757.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
756.8
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
755.1
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
754.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
754.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
751.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
751.3
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
749.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
748.0
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
747.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
746.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
744.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
744.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
743.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
743.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
742.4
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
741.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
740.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
740.8
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
739.4
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
737.8
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
736.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
736.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
736.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
735.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
735.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
735.2
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
734.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
732.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
731.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
730.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
728.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
728.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
727.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
726.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
725.4
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
724.4
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
723.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
721.6
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
718.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
717.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
717.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
714.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
714.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
713.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
712.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
712.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
710.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
706.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
705.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
705.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
704.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
700.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
699.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
699.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
699.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
694.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
693.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
692.3
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
691.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
690.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
689.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
689.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
688.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
683.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
681.7
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
681.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
678.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
678.1
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
677.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
674.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
673.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
673.4
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
671.8
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
671.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
670.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
668.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
664.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
664.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
661.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
661.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
654.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
653.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
652.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
647.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
647.2
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
645.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
644.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
643.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
641.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
638.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
638.1
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
637.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
637.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
632.4
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
629.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
629.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
628.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
626.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
626.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
626.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
626.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
625.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
624.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
619.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
614.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
612.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
611.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
610.3
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
607.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
607.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
605.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
605.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
603.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
600.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
599.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
598.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
598.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
594.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
592.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
590.7
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
590.7
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
590.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
587.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
586.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
582.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
577.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
576.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
575.4
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
573.7
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
570.1
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
567.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
565.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
563.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
559.6
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
558.9
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
555.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
552.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
550.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
549.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
548.1
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
542.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
542.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
540.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
537.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
536.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
535.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
533.5
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
533.4
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
531.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
531.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
527.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
523.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
521.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
513.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
508.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
503.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
497.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
493.0
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
491.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
489.7
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
471.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
467.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
467.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
466.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
466.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
462.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
455.9
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
454.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
448.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
445.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
441.3
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
440.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
438.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
436.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
433.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
428.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
425.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
423.1
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
419.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
419.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
413.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
408.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
404.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
399.6
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
396.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
391.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
390.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
388.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
372.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
370.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
369.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
355.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
339.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
339.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL35A 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
1345.1
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3406.2
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2624.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2610.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2568.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2333.7
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2187.1
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2144.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2115.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2090.3
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2017.2
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2015.3
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1986.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1959.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
1934.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1778.9
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1770.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1763.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1703.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1670.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1669.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1663.9
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1638.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1582.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
1566.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1564.7
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1551.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1526.0
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1513.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1495.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1436.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1425.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1419.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1411.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1400.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1384.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1380.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1367.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1321.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1320.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1309.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1305.6
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1302.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1295.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1292.0
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1282.2
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1270.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1256.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1252.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1252.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1250.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1219.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1206.3
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1200.1
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1199.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1199.7
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1193.5
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1193.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1184.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1181.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1174.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1160.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1156.6
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1149.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1142.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1129.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1121.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1117.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1116.2
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1087.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1087.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1069.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1064.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1048.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1048.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1047.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1045.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1038.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1029.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1013.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
999.1
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
986.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
962.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
957.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
943.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
940.5
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
927.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
897.4
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
883.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
871.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
867.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
853.5
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
839.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
825.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
786.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
756.9
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
682.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
677.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
675.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
668.5
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.
RPL35A is potential prognostic, high expression is unfavorable in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
664.9
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2260.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2019.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1889.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1738.2
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1507.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1477.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1420.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1385.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1347.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1302.6
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1286.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1264.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1219.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1218.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1200.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
1199.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1194.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1186.8
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1152.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1146.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1131.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1097.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1091.0
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1084.4
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1080.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1060.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1056.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1040.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1036.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1033.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1023.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1022.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1013.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1004.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
992.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
951.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
949.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
949.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
942.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
939.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
928.2
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
925.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
919.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
915.7
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
912.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
906.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
903.9
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
903.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
903.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
900.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
898.7
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
892.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
891.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
888.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
884.1
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
867.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
862.7
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
860.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
858.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
850.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
847.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
846.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
845.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
842.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
826.4
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
823.1
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
816.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
815.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
810.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
810.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
806.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
798.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
798.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
791.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
789.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
778.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
778.3
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
777.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
777.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
773.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
771.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
769.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
767.8
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
767.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
766.7
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
766.2
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
766.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
764.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
763.6
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
761.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
760.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
755.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
751.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
749.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
741.2
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
740.0
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
733.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
727.6
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
724.9
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
724.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
714.5
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
714.5
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
712.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
710.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
703.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
698.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
698.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
688.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
687.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
682.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
674.8
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
673.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
670.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
668.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
667.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
667.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
667.5
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
666.7
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
646.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
644.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
642.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
639.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
638.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
638.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
635.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
635.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
635.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
633.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
628.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
628.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
627.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
626.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
616.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
616.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
611.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
610.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
607.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
606.2
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
602.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
598.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
598.1
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
596.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
595.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
594.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
594.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
590.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
588.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
586.8
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
579.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
579.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
578.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
577.5
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
573.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
571.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
571.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
570.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
570.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
570.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
567.2
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
564.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
561.9
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
560.5
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
558.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
549.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
549.1
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
547.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
546.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
546.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
545.2
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
544.9
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
543.6
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
543.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
540.6
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
538.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
538.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
537.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
532.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
532.3
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
532.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
528.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
528.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
527.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
524.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
523.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
523.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
521.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
518.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
517.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
514.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
513.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
512.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
512.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
509.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
504.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
501.0
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
501.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
500.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
489.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
489.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
486.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
485.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
482.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
481.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
478.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
476.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
475.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
471.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
471.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
470.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
464.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
464.6
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
463.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
462.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
462.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
459.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
459.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
458.0
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
456.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
454.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
452.7
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
451.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
450.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
442.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
442.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
442.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
439.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
434.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
430.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
427.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
423.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
422.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
420.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
414.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
414.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
412.1
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
410.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
409.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
402.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
400.5
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
400.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
395.4
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
394.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
393.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
393.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
390.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
388.1
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
383.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
376.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
374.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
369.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
369.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
368.5
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
366.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
366.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
364.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
360.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
356.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
351.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
344.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
340.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
332.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
331.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
326.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
320.0
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
314.8
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
302.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
296.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
286.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
285.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
276.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
267.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
260.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
256.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
246.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
228.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
223.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
195.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
195.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
144.5
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
125.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
95.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
37.2
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.2
CPT0084560003
Tumor
1.0
CPT0001180009
Tumor
0.8
CPT0002350011
Tumor
0.8
CPT0001270001
Normal
0.7
CPT0075130003
Tumor
0.7
CPT0079410003
Tumor
0.7
CPT0086950003
Tumor
0.7
CPT0001260009
Tumor
0.7
CPT0086820003
Tumor
0.6
CPT0088690003
Tumor
0.6
CPT0079480003
Tumor
0.6
CPT0023350003
Tumor
0.5
CPT0077110003
Tumor
0.5
CPT0065430003
Tumor
0.5
CPT0088550004
Tumor
0.5
CPT0088630003
Tumor
0.5
CPT0066470004
Tumor
0.5
CPT0075170001
Normal
0.5
CPT0092800003
Normal
0.4
CPT0014450004
Tumor
0.4
CPT0002270011
Tumor
0.4
CPT0088760003
Tumor
0.4
CPT0015810003
Tumor
0.4
CPT0081600003
Tumor
0.4
CPT0007320003
Tumor
0.4
CPT0025110003
Tumor
0.4
CPT0001540009
Tumor
0.4
CPT0085670003
Tumor
0.4
CPT0088970003
Tumor
0.4
CPT0086870003
Tumor
0.4
CPT0071150004
Tumor
0.4
CPT0025230003
Tumor
0.4
CPT0092190003
Normal
0.3
CPT0089020003
Tumor
0.3
CPT0088480003
Tumor
0.3
CPT0078830003
Tumor
0.3
CPT0086830003
Normal
0.3
CPT0088900003
Tumor
0.3
CPT0086030003
Tumor
0.3
CPT0075720003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0001190001
Normal
0.3
CPT0025880003
Tumor
0.3
CPT0014130001
Normal
0.3
CPT0077320001
Normal
0.3
CPT0092740003
Normal
0.3
CPT0065870003
Tumor
0.3
CPT0010110003
Tumor
0.3
CPT0092160003
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0092730003
Tumor
0.3
CPT0088570001
Normal
0.3
CPT0089040001
Normal
0.3
CPT0026410003
Tumor
0.3
CPT0001350001
Normal
0.3
CPT0077490003
Tumor
0.3
CPT0079380003
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0019990003
Tumor
0.2
CPT0025350003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0076350001
Normal
0.2
CPT0087040003
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0092290003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0086970003
Normal
0.2
CPT0086360003
Tumor
0.2
CPT0086370003
Normal
0.2
CPT0088920001
Normal
0.2
CPT0020120003
Tumor
0.2
CPT0014370004
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0063630003
Tumor
0.2
CPT0000870016
Tumor
0.2
CPT0078800003
Tumor
0.1
CPT0076330003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0019130003
Tumor
0.1
CPT0015730003
Tumor
0.1
CPT0086890003
Normal
0.1
CPT0007870001
Normal
0.1
CPT0089480003
Normal
0.1
CPT0014470001
Normal
0.1
CPT0000790001
Normal
0.1
CPT0025060001
Normal
0.1
CPT0088710001
Normal
0.1
CPT0064370003
Tumor
0.1
CPT0081880003
Tumor
0.1
CPT0001550001
Normal
0.1
CPT0087050003
Normal
0.1
CPT0069160003
Tumor
0.1
CPT0066430001
Normal
0.1
CPT0006730001
Normal
0.1
CPT0006630003
Tumor
0.1
CPT0079270003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0088780001
Normal
0.0
CPT0023690003
Tumor
0.0
CPT0078990003
Tumor
0.0
CPT0020130001
Normal
0.0
CPT0025290003
Tumor
0.0
CPT0006530001
Normal
0.0
CPT0065820001
Normal
0.0
CPT0006440003
Tumor
0.0
CPT0069190001
Normal
0.0
CPT0066480003
Tumor
0.0
CPT0023360001
Normal
0.0
CPT0077140001
Normal
0.0
CPT0092310003
Normal
0.0
CPT0006950001
Normal
0.0
CPT0007470001
Normal
0.0
CPT0079230003
Tumor
0.0
CPT0001500009
Tumor
0.0
CPT0020020001
Normal
0.0
CPT0079430001
Normal
0.0
CPT0019160001
Normal
-0.1
CPT0065750003
Tumor
-0.1
CPT0000660001
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0063640001
Normal
-0.1
CPT0015910003
Tumor
-0.1
CPT0082010001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0010120001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0078940001
Normal
-0.1
CPT0075570001
Normal
-0.1
CPT0078660003
Tumor
-0.1
CPT0025920001
Normal
-0.1
CPT0088500001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0088640003
Normal
-0.1
CPT0014350001
Normal
-0.2
CPT0063320003
Tumor
-0.2
CPT0063330001
Normal
-0.2
CPT0078930003
Tumor
-0.2
CPT0000890001
Normal
-0.2
CPT0077500001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0023710001
Normal
-0.2
CPT0000640003
Tumor
-0.2
CPT0081990003
Tumor
-0.2
CPT0001510001
Normal
-0.2
CPT0006900003
Tumor
-0.2
CPT0010170001
Normal
-0.2
CPT0075560003
Tumor
-0.2
CPT0081620001
Normal
-0.2
CPT0078510003
Tumor
-0.2
CPT0065930003
Tumor
-0.2
CPT0079000001
Normal
-0.3
CPT0065450001
Normal
-0.3
CPT0079300001
Normal
-0.3
CPT0078670001
Normal
-0.3
CPT0065810003
Tumor
-0.3
CPT0002370001
Normal
-0.3
CPT0012550003
Tumor
-0.3
CPT0012180003
Tumor
-0.3
CPT0025610001
Normal
-0.3
CPT0011410003
Tumor
-0.4
CPT0077310003
Tumor
-0.4
CPT0026420001
Normal
-0.4
CPT0078530001
Normal
-0.4
CPT0017850003
Tumor
-0.4
CPT0012280003
Tumor
-0.4
CPT0014160003
Tumor
-0.5
CPT0017410003
Tumor
-0.5
CPT0012290003
Normal
-0.5
CPT0001230001
Normal
-0.5
CPT0007860003
Tumor
-0.6
CPT0012670003
Tumor
-0.6
CPT0012080003
Tumor
-0.6
CPT0018250001
Normal
-0.7
CPT0012090003
Normal
-0.8
CPT0009000003
Tumor
-0.8
CPT0013790003
Normal
-0.8
CPT0011240003
Tumor
-0.8
CPT0024680001
Normal
-0.9
CPT0012370003
Tumor
-0.9
CPT0021240003
Tumor
-0.9
CPT0012900004
Tumor
-1.0
CPT0069000003
Tumor
-1.0
CPT0017450001
Normal
-1.0
CPT0012640003
Normal
-1.1
CPT0024670003
Tumor
-1.1
CPT0012920003
Normal
-1.1
CPT0079180003
Tumor
-1.2
CPT0009020003
Normal
-1.2
CPT0009060003
Tumor
-1.2
CPT0069010001
Normal
-1.3
CPT0012570003
Normal
-1.3
CPT0012770003
Normal
-1.5
CPT0009080003
Normal
-1.6
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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.
The Human Protein Atlas project is funded
