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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.
USP39 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
32.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
56.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
46.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
40.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
39.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
37.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
37.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
36.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
35.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
33.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
32.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
31.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
29.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
27.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
26.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
26.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
25.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
21.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
USP39 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
38.8
Number of samples
486
Samples
Sample
Description
TPM
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
76.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
51.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
44.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
43.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
40.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
37.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
35.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
33.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
32.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
31.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
31.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
31.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
28.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
25.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
24.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
24.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
22.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
20.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP39 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
32.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
53.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
47.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
44.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
44.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
42.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
42.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
40.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
39.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
33.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
29.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
29.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
29.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
28.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
25.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP39 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
35.0
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
60.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
57.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
40.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
30.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
28.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
28.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
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Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
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
