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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.
DAG1 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
39.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
104.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
80.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
76.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
72.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
68.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
68.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
66.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
64.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
62.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
62.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
61.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
56.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
56.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
55.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
55.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
55.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
53.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
52.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
52.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
50.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
48.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
47.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
47.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
47.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
47.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
46.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
41.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
41.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
40.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
39.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
38.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
34.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
31.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
30.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
27.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
26.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
25.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
24.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
22.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
DAG1 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
57.5
Number of samples
486
Samples
Sample
Description
TPM
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
120.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
115.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
113.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
112.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
112.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
111.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
108.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
107.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
106.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
104.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
104.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
97.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
96.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
94.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
93.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
91.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
90.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
87.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
87.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
85.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
84.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
82.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
82.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
81.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
80.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
80.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
78.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
78.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
77.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
77.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
76.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
76.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
75.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
75.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
75.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
74.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
73.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
73.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
72.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
72.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
72.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
71.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
71.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
71.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
71.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
71.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
70.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
70.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
69.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
68.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
67.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
67.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
66.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
65.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
64.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
64.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
64.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
63.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
63.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
63.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
61.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
61.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
61.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
60.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
57.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
53.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
51.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
47.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
42.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
39.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
37.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
29.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
25.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
DAG1 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
38.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
66.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
57.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
55.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
48.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
46.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
43.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
42.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
41.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
41.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
40.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
39.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
DAG1 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
50.5
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
106.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
101.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
101.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
86.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
79.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
77.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
70.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
69.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
69.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
65.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
61.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
60.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
57.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
56.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
55.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
53.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
47.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
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Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
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Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
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Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
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Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
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
