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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.
CAB39 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
33.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
87.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
81.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
76.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
72.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
60.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
49.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
44.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
41.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
35.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
34.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
33.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
30.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
30.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
29.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
29.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
28.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
27.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
27.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
27.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
27.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
25.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
23.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
21.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
20.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
CAB39 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
68.3
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
146.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
142.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
121.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
121.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
118.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
116.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
116.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
111.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
110.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
109.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
107.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
105.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
104.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
100.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
95.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
95.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
95.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
94.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
94.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
93.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
93.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
92.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
92.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
92.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
92.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
91.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
91.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
91.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
90.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
90.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
90.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
89.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
87.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
86.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
86.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
86.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
85.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
85.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
85.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
85.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
85.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
84.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
84.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
83.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
83.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
83.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
82.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
82.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
82.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
82.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
82.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
82.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
81.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
81.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
81.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
81.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
81.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
81.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
81.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
80.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
80.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
80.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
80.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
79.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
79.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
79.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
77.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
76.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
76.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
75.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
75.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
75.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
75.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
75.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
74.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
74.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
74.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
74.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
74.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
74.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
73.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
73.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
73.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
73.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
73.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
73.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
73.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
73.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
73.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
72.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
72.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
72.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
72.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
72.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
72.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
71.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
71.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
70.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
70.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
70.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
70.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
70.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
69.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
69.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
68.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
68.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
67.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
67.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
66.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
65.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
65.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
64.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
64.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
64.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
64.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
63.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
63.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
63.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
63.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
61.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
60.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
60.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
59.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
58.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
58.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
55.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
54.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
52.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
51.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CAB39 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
36.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
77.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
65.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
64.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
48.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
46.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
44.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
36.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CAB39 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
63.2
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
115.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
107.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
104.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
104.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
102.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
102.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
98.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
91.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
91.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
89.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
89.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
87.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
86.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
86.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
84.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
84.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
82.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
79.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
77.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
76.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
76.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
76.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
74.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
73.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
71.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
69.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
69.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
69.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
68.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
67.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
66.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
65.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
64.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
62.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
62.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
62.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
62.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
61.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
60.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
59.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
59.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
59.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
58.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
58.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
57.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
56.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
53.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_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
