We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
USO1 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
27.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
67.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
61.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
55.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
45.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
35.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
35.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
34.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
33.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
32.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
28.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
27.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
23.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
22.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
20.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
USO1 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
43.1
Number of samples
486
Samples
Sample
Description
TPM
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
80.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
78.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
73.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
70.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
67.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
66.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
62.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
60.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
56.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
54.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
54.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
54.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
53.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
47.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
38.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
35.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
32.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
29.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
25.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
25.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
25.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
24.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
21.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
18.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
USO1 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
27.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
67.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
41.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
36.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
34.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
34.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
34.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
30.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
24.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
24.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.0
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.
USO1 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
40.2
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
69.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
62.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
53.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
45.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
41.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
40.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
37.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
32.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
