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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.
USP10 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
36.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
76.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
73.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
72.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
61.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
56.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
56.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
54.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
53.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
52.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
51.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
50.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
50.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
50.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
49.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
45.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
45.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
44.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
44.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
42.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
41.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
41.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
39.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
39.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
39.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
39.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
37.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
37.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
35.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
35.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
32.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
31.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
31.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
30.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
30.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
18.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
USP10 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
46.0
Number of samples
486
Samples
Sample
Description
TPM
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
86.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
80.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
64.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
64.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
62.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
62.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
56.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
55.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
55.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
53.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
51.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
50.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
49.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
47.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
46.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
46.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
45.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
43.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
40.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
32.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
29.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.1
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.
USP10 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
35.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
45.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
45.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
44.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.3
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.
USP10 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
43.3
Number of samples
207
Samples
Sample
Description
TPM
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
66.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
65.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
59.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
59.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
47.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
33.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
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
