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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.
TRIOBP 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
38.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
101.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
83.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
79.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
78.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
76.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
68.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
64.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
63.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
58.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
57.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
54.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
53.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
49.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
49.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
49.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
48.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
46.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
45.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
44.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
39.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
34.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
34.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
33.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
32.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
31.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
26.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
25.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
23.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
21.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.6
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
15.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
TRIOBP 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
39.8
Number of samples
486
Samples
Sample
Description
TPM
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
116.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
85.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
76.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
65.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
63.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
62.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
55.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
54.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
53.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
42.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
39.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
37.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
34.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
34.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
33.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
33.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
30.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
30.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
30.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
30.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
29.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
28.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
27.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
25.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
25.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
25.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
24.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
24.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
24.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
24.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
23.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
22.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
22.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
15.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
TRIOBP 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
34.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
76.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
69.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
39.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
31.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
25.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
23.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRIOBP is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.0
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
81.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
64.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
59.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
55.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
55.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
29.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
27.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
27.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
27.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
21.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
20.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
18.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.8
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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
1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
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
