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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.
PFN1 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
456.6
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2821.6
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
1962.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
896.8
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
713.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
712.7
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
692.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
574.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
547.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
531.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
527.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
510.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
507.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
480.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
470.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
469.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
452.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
451.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
448.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
443.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
442.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
424.2
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
416.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
415.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
409.8
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
408.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
402.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
394.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
394.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
387.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
386.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
383.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
382.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
381.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
363.7
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
361.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
360.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
350.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
347.7
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
342.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
339.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
336.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
336.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
331.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
323.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
322.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
320.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
318.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
313.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
312.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
309.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
309.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
308.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
302.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
299.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
292.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
286.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
281.2
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
274.5
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
271.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
263.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
225.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
222.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
209.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PFN1 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1052.6
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4472.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3044.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2754.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
2277.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2143.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2137.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2056.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2014.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1998.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1983.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1971.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1931.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1931.0
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1926.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1913.4
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
1910.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1877.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
1844.5
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1796.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1772.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1755.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1739.6
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1731.4
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
1723.2
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1666.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1660.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1607.7
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1592.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1591.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1578.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1564.3
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1561.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1558.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
1557.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
1557.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1555.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
1541.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
1520.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
1518.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1518.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1509.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
1496.3
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
1494.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1493.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
1487.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
1484.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1471.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1465.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1459.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1459.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1455.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1452.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1450.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1450.0
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1446.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1432.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1415.2
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1410.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1409.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1407.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1407.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1397.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
1395.8
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1388.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1385.6
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1384.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1384.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
1381.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1376.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
1376.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1376.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1370.9
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1368.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
1368.4
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1368.3
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1365.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
1359.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1353.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1351.7
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1345.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1344.8
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1342.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1339.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1339.2
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1331.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1328.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1325.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1322.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1321.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1320.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1315.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1312.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1311.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1310.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1307.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1304.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1304.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1301.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1298.9
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1298.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1293.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1291.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1290.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1286.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1285.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1279.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1275.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1270.5
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
1269.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1262.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1261.9
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1257.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1252.4
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1249.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1245.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1242.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
1239.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1238.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1237.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1235.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1235.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1232.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1231.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
1230.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1229.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1228.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1227.5
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1226.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1226.1
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
1224.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1222.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
1219.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1210.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1208.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1200.9
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
1199.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1197.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
1197.2
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
1192.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1191.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1190.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1189.6
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1188.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1188.4
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1184.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1184.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1180.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1179.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1179.1
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1176.5
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1176.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1175.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
1174.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
1172.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1167.6
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1164.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
1162.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1161.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1161.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1161.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1159.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1159.5
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
1156.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1153.6
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1152.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
1152.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1150.1
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1146.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
1143.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1143.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1139.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1136.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
1133.7
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1128.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1127.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1126.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1126.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1126.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1124.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1123.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1122.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1122.7
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1120.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1119.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1119.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
1117.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1116.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
1113.8
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1112.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
1109.1
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1108.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1108.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1107.4
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1103.5
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1103.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1099.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
1099.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1097.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1094.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1093.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1092.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1088.4
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1084.8
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
1084.3
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1083.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1083.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1082.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1081.2
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1078.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
1077.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1077.7
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1076.4
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1075.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1071.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1071.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1070.4
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1067.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1067.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
1066.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1066.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1066.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1065.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
1064.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1060.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
1060.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1060.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1056.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1055.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1052.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1051.9
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
1051.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1048.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1048.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1048.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1048.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1046.1
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1043.2
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1042.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1041.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1041.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1041.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1041.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1041.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1040.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1040.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1039.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
1039.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
1037.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1035.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1033.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1032.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1031.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1031.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1029.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
1029.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1029.1
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1028.1
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1027.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1026.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1026.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
1026.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1024.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1023.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
1023.1
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1019.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1019.2
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1018.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1018.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1017.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1017.2
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1016.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1013.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1010.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1009.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1008.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1005.7
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1005.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1004.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1000.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1000.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1000.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
997.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
997.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
994.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
993.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
992.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
991.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
989.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
988.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
984.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
980.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
980.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
979.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
976.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
975.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
975.3
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
974.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
970.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
970.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
968.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
968.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
965.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
965.7
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
963.0
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
961.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
953.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
952.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
951.6
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
949.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
949.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
947.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
946.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
943.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
943.4
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
941.9
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
941.1
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
940.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
939.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
938.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
936.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
936.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
935.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
930.9
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
929.3
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
929.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
929.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
927.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
927.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
926.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
923.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
923.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
922.8
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
922.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
922.7
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
921.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
920.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
919.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
919.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
918.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
918.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
915.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
914.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
912.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
910.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
910.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
909.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
906.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
904.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
903.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
902.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
898.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
897.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
897.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
896.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
892.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
892.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
891.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
887.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
885.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
884.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
883.4
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
881.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
879.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
879.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
878.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
878.8
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
875.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
874.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
873.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
867.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
860.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
856.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
856.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
855.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
854.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
854.2
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
854.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
854.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
853.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
852.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
852.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
852.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
852.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
852.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
851.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
851.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
851.0
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
848.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
846.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
844.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
840.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
837.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
837.1
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
837.1
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
832.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
829.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
825.9
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
825.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
824.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
823.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
822.9
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
819.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
818.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
818.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
817.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
815.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
814.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
814.0
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
812.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
811.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
810.9
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
810.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
809.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
809.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
809.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
809.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
808.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
807.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
805.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
805.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
803.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
802.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
793.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
789.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
787.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
784.2
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
781.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
779.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
778.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
778.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
777.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
776.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
775.0
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
773.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
770.3
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
770.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
769.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
768.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
766.9
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
760.4
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
753.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
750.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
748.6
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
747.3
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
744.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
741.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
740.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
738.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
735.7
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
735.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
732.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
732.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
724.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
722.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
717.7
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
717.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
710.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
704.7
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
700.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
700.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
699.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
697.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
688.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
683.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
683.1
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
676.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
676.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
674.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
673.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
671.4
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
666.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
666.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
664.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
663.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
661.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
660.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
656.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
647.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
637.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
625.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
620.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
601.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
593.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
584.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
583.1
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
582.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
579.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
576.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
574.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
574.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
572.8
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
572.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
570.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
565.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
561.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
544.2
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
538.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
530.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
526.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
517.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
507.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
498.6
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
478.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
465.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
453.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
437.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
411.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
401.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
339.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
335.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
333.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
304.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
299.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
299.2
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
297.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
273.1
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
262.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
241.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
234.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
226.9
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PFN1 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
1026.1
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2384.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1865.8
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1784.0
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1750.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1629.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1541.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1533.0
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1472.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1421.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1349.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1329.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1299.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1289.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1243.0
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1240.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1237.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1233.7
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1227.9
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1227.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1217.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1210.7
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1210.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1208.8
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1201.3
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1200.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1191.8
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1191.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
1189.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1181.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1180.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1153.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1153.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1139.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1136.8
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1121.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1119.3
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1101.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1090.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1086.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1076.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1076.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1066.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1046.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1042.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1031.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1025.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1024.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1024.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1024.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1009.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
999.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
983.7
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
975.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
974.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
974.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
970.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
967.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
954.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
952.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
952.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
948.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
938.4
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
921.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
916.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
914.3
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
907.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
906.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
903.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
897.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
895.8
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
895.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
875.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
866.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
859.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
853.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
829.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
806.3
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
797.5
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
790.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
786.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
782.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
779.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
734.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
731.5
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
728.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
723.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
721.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
687.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
671.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
652.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
642.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
638.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
633.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
632.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
595.6
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
558.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
470.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
439.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
422.7
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.
PFN1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1408.1
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3319.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2665.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2665.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2433.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2419.3
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2392.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2352.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2349.9
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2327.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2278.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2233.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2182.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2166.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2157.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2145.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2131.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2127.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2118.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2100.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2099.9
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2094.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2080.7
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2068.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2066.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2030.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2024.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2023.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2019.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
2012.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2006.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1993.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1992.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1977.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1975.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1971.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1969.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1951.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1950.5
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1938.8
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1931.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1915.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1905.1
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1904.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
1888.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1873.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
1872.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1864.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1853.8
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1846.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1846.2
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1845.3
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
1840.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1836.7
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1824.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1821.8
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1816.3
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1800.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1796.9
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1795.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1789.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1786.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1785.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
1783.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1782.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1775.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1768.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1766.4
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1763.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1762.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1757.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1737.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1735.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1733.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1726.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1724.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1719.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1706.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1702.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1683.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1680.6
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1680.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1665.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1662.8
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1662.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1662.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1647.7
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1645.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1641.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1636.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1633.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1632.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1624.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1622.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1621.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1617.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1609.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1602.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1592.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1589.2
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1576.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1568.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1556.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1555.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1550.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1549.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1541.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1539.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1534.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1533.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1519.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1516.5
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1514.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1513.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1512.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1512.2
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1506.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1495.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1493.9
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1493.5
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1488.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1484.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
1479.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1474.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
1472.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1461.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1458.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1457.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1452.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1449.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1439.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1425.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1424.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1423.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1418.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1415.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1410.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1404.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1403.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1400.7
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1397.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1393.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1386.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1385.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1384.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1374.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1372.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1362.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1360.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1354.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1348.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1342.2
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1337.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1334.5
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1326.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1324.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1317.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1312.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1308.1
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1307.7
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1298.5
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1296.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1292.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1291.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1288.5
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1268.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1264.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1262.9
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1262.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1261.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1258.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1254.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1254.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1249.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1247.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1233.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
1232.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1225.2
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1225.2
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1222.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
1218.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1216.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1214.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1212.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1207.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1207.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1193.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1190.5
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1184.2
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1182.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
1182.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1176.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1175.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1168.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1166.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1164.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1156.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1151.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1140.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1136.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1134.2
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1128.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1125.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1122.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1117.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1114.6
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1111.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1106.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1103.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1103.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1103.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1090.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1084.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1083.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1072.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
1069.8
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1067.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1062.6
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1054.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1053.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1052.3
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1051.5
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1045.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1044.3
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1030.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1023.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1015.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1000.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
995.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
992.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
990.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
988.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
981.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
977.4
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
962.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
957.7
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
948.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
943.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
942.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
934.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
928.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
915.6
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
903.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
885.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
885.2
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
879.5
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
869.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
856.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
852.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
849.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
848.1
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
846.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
828.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
825.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
814.3
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
812.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
812.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
804.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
793.2
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
759.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
720.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
715.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
707.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
699.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
697.6
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
694.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
694.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
670.2
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
652.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
636.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
617.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
612.1
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
609.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
607.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
572.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
571.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
559.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
520.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
496.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
409.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
376.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
332.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
263.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0076330003
Tumor
0.9
CPT0088550004
Tumor
0.9
CPT0025050003
Tumor
0.7
CPT0079380003
Tumor
0.7
CPT0017410003
Tumor
0.6
CPT0084560003
Tumor
0.6
CPT0017850003
Tumor
0.6
CPT0078990003
Tumor
0.6
CPT0011240003
Tumor
0.5
CPT0081880003
Tumor
0.5
CPT0069000003
Tumor
0.5
CPT0001540009
Tumor
0.5
CPT0021240003
Tumor
0.5
CPT0012280003
Tumor
0.5
CPT0000640003
Tumor
0.5
CPT0023350003
Tumor
0.4
CPT0086950003
Tumor
0.4
CPT0075560003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0066480003
Tumor
0.4
CPT0065430003
Tumor
0.4
CPT0006900003
Tumor
0.4
CPT0010110003
Tumor
0.4
CPT0065810003
Tumor
0.4
CPT0012180003
Tumor
0.4
CPT0077110003
Tumor
0.3
CPT0077490003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0092160003
Tumor
0.3
CPT0012370003
Tumor
0.3
CPT0063630003
Tumor
0.3
CPT0086360003
Tumor
0.3
CPT0009060003
Tumor
0.3
CPT0012900004
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0001260009
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0023690003
Tumor
0.3
CPT0065930003
Tumor
0.3
CPT0092290003
Tumor
0.3
CPT0009000003
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0012550003
Tumor
0.3
CPT0079480003
Tumor
0.3
CPT0081990003
Tumor
0.3
CPT0077310003
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0078830003
Tumor
0.3
CPT0078510003
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0089460004
Tumor
0.3
CPT0092730003
Tumor
0.3
CPT0012080003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0024670003
Tumor
0.2
CPT0089020003
Tumor
0.2
CPT0025350003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0006630003
Tumor
0.2
CPT0000870016
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0065690003
Tumor
0.2
CPT0025110003
Tumor
0.2
CPT0064370003
Tumor
0.2
CPT0065870003
Tumor
0.2
CPT0086030003
Tumor
0.2
CPT0079270003
Tumor
0.2
CPT0092790003
Tumor
0.2
CPT0088760003
Tumor
0.2
CPT0078930003
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0007320003
Tumor
0.2
CPT0001500009
Tumor
0.2
CPT0015910003
Tumor
0.2
CPT0006440003
Tumor
0.2
CPT0002350011
Tumor
0.2
CPT0087040003
Tumor
0.2
CPT0066470004
Tumor
0.2
CPT0025580004
Tumor
0.1
CPT0000780007
Tumor
0.1
CPT0077320001
Normal
0.1
CPT0014370004
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0007860003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0079230003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0014160003
Tumor
0.1
CPT0088690003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0086870003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0014450004
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0015730003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0088630003
Tumor
0.1
CPT0086820003
Tumor
0.0
CPT0024680001
Normal
0.0
CPT0001180009
Tumor
0.0
CPT0084590001
Normal
0.0
CPT0065750003
Tumor
0.0
CPT0002270011
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0011410003
Tumor
0.0
CPT0001340003
Tumor
0.0
CPT0075170001
Normal
0.0
CPT0078800003
Tumor
0.0
CPT0079510001
Normal
-0.1
CPT0063320003
Tumor
-0.1
CPT0085670003
Tumor
-0.1
CPT0014470001
Normal
-0.1
CPT0018250001
Normal
-0.1
CPT0075570001
Normal
-0.1
CPT0017450001
Normal
-0.1
CPT0078530001
Normal
-0.1
CPT0075130003
Tumor
-0.1
CPT0012290003
Normal
-0.1
CPT0066520001
Normal
-0.2
CPT0069190001
Normal
-0.2
CPT0086970003
Normal
-0.2
CPT0009020003
Normal
-0.2
CPT0012920003
Normal
-0.2
CPT0065820001
Normal
-0.2
CPT0082010001
Normal
-0.2
CPT0088570001
Normal
-0.2
CPT0076350001
Normal
-0.2
CPT0001190001
Normal
-0.2
CPT0025060001
Normal
-0.2
CPT0023360001
Normal
-0.2
CPT0013790003
Normal
-0.2
CPT0006530001
Normal
-0.2
CPT0025610001
Normal
-0.3
CPT0000660001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0088970003
Tumor
-0.3
CPT0069010001
Normal
-0.3
CPT0009080003
Normal
-0.3
CPT0077500001
Normal
-0.3
CPT0000890001
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0065450001
Normal
-0.3
CPT0089040001
Normal
-0.3
CPT0079430001
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0066430001
Normal
-0.3
CPT0063640001
Normal
-0.3
CPT0007470001
Normal
-0.3
CPT0092800003
Normal
-0.3
CPT0012570003
Normal
-0.3
CPT0020020001
Normal
-0.3
CPT0012640003
Normal
-0.3
CPT0088920001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0078840001
Normal
-0.3
CPT0001550001
Normal
-0.3
CPT0092310003
Normal
-0.3
CPT0006730001
Normal
-0.3
CPT0078940001
Normal
-0.3
CPT0086890003
Normal
-0.3
CPT0064400001
Normal
-0.3
CPT0092740003
Normal
-0.3
CPT0077140001
Normal
-0.3
CPT0087050003
Normal
-0.3
CPT0026420001
Normal
-0.3
CPT0079300001
Normal
-0.3
CPT0000790001
Normal
-0.3
CPT0081620001
Normal
-0.4
CPT0063330001
Normal
-0.4
CPT0019160001
Normal
-0.4
CPT0020130001
Normal
-0.4
CPT0079180003
Tumor
-0.4
CPT0023710001
Normal
-0.4
CPT0001510001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0006950001
Normal
-0.4
CPT0001230001
Normal
-0.4
CPT0012770003
Normal
-0.4
CPT0078660003
Tumor
-0.4
CPT0079000001
Normal
-0.4
CPT0088500001
Normal
-0.4
CPT0089480003
Normal
-0.4
CPT0086370003
Normal
-0.4
CPT0025920001
Normal
-0.5
CPT0078670001
Normal
-0.5
CPT0088780001
Normal
-0.5
CPT0001350001
Normal
-0.5
CPT0088640003
Normal
-0.5
CPT0007870001
Normal
-0.6
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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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
