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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.
POLE3 is not prognostic in Colon Adenocarcinoma (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 TPM
51.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
121.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
109.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
103.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
103.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
97.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
95.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
85.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
85.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
84.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
83.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
81.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
81.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
79.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
77.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
76.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
75.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
74.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
74.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
74.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
73.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
73.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
72.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
71.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
70.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
70.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
68.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
68.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
67.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
67.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
66.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
66.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
66.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
64.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
63.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
63.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
61.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
61.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
61.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
60.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
58.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
57.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
57.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
56.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
56.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
55.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
55.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
54.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
53.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
53.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
52.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
52.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
51.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
51.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
50.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
48.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
46.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
46.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
44.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
44.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
43.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
39.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
36.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
30.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
22.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
POLE3 is not prognostic in Colon Adenocarcinoma (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 TPM
44.6
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
106.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
99.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
99.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
94.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
90.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
80.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
79.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
77.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
74.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
74.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
74.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
73.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
71.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
69.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
67.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
66.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
65.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
64.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
60.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
60.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
58.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
56.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
56.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
55.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
54.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
52.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
52.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
50.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
49.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
47.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
39.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
32.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
32.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
31.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
31.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
27.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
22.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
22.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
21.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
POLE3 is not prognostic in Rectum Adenocarcinoma (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 TPM
55.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
137.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
103.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
90.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
90.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
83.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
81.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
81.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
77.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
77.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
76.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
75.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
74.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
72.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
71.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
70.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
65.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
62.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
61.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
60.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
59.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
58.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
58.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
54.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
54.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
50.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
47.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
47.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
38.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
38.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
POLE3 is not prognostic in Rectum Adenocarcinoma (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 TPM
38.5
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
81.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
63.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
57.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
43.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
33.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
30.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
28.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
28.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
Show allShow less
COLORECTAL 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
