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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.
DAB2IP 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
23.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
54.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
53.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
40.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
28.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
25.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
23.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
22.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
22.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
22.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
21.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
20.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
20.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
20.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
19.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
18.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
17.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
17.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
17.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
14.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
10.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
DAB2IP 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
43.2
Number of samples
486
Samples
Sample
Description
TPM
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
107.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
86.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
81.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
78.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
76.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
69.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
69.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
68.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
65.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
64.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
62.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
62.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
57.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
56.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
56.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
53.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
50.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
50.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
45.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
45.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
40.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
39.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
37.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
36.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
35.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
31.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
30.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
29.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
29.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
28.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
27.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
27.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
27.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
26.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
26.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
25.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
25.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
24.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
22.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
22.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
21.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
20.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
19.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
19.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
18.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
15.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
DAB2IP 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
23.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
46.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
40.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
29.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
22.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
21.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.5
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.
DAB2IP 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
42.7
Number of samples
207
Samples
Sample
Description
TPM
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
108.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
94.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
85.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
81.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
74.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
70.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
68.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
58.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
57.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
38.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
33.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
27.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
20.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
15.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.1
b2400046-1d25-429d-a821-6040a6
Tumor
-1.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
