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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.
NUMB 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
28.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
53.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
51.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
44.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
40.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
39.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
35.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
33.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
28.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
26.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
25.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
25.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
24.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
24.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
24.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
21.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
21.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
21.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
15.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 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.
NUMB 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
56.3
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
94.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
90.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
90.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
89.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
88.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
87.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
86.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
85.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
82.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
82.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
79.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
78.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
77.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
77.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
76.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
75.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
75.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
75.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
75.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
75.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
74.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
73.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
73.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
71.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
69.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
69.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
69.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
68.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
68.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
68.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
67.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
67.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
65.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
64.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
63.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
62.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
62.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
62.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
61.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
61.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
61.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
60.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
59.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
59.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
59.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
57.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
53.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
53.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
50.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
49.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
44.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
43.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
42.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
41.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
35.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
35.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
33.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
NUMB 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
27.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
38.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
34.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
30.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
24.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
23.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.2
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.
NUMB 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
49.9
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
78.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
72.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
68.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
67.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
66.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
63.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
62.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
57.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
49.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
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Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
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Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
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Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
