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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.
USP5 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
39.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
91.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
87.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
72.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
72.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
62.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
56.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
55.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
52.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
49.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
42.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
41.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
41.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
40.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
40.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
40.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
39.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
38.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
36.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
36.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
34.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
34.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
31.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
23.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP5 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
42.9
Number of samples
486
Samples
Sample
Description
TPM
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
136.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
135.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
89.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
77.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
74.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
74.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
73.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
69.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
64.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
64.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
62.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
61.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
58.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
57.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
55.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
51.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
51.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
41.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
37.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
35.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
34.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
34.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
33.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
29.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
28.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
25.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
18.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
14.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
12.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP5 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
37.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
92.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
45.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
45.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
43.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
40.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
39.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
39.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
32.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
27.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.5
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.
USP5 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
42.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
116.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
114.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
110.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
90.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
88.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
86.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
66.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
56.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
52.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
25.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
24.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
22.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
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Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
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Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
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Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
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Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.