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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBE2H is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
138.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
70.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
62.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
56.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
53.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
52.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
49.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
49.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
48.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
47.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
44.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
43.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
38.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
38.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
38.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
37.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
35.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
34.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
31.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
30.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
29.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
27.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
23.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
22.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
21.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
15.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
UBE2H 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
63.4
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
166.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
166.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
148.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
147.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
145.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
143.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
142.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
137.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
134.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
118.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
118.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
112.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
103.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
102.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
100.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
100.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
98.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
97.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
97.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
97.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
96.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
96.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
96.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
96.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
93.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
93.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
92.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
92.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
92.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
91.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
91.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
91.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
91.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
90.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
90.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
89.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
88.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
88.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
88.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
86.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
86.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
85.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
84.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
84.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
84.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
84.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
82.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
82.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
82.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
81.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
81.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
81.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
81.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
81.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
80.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
79.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
79.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
79.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
78.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
78.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
78.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
78.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
77.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
76.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
76.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
75.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
75.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
74.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
74.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
74.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
74.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
73.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
73.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
71.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
68.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
68.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
67.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
67.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
66.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
66.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
65.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
65.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
65.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
64.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
64.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
64.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
62.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
60.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
59.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
56.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
56.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
54.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
47.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
46.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
UBE2H 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
33.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
51.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
51.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
49.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
47.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
45.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
32.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
32.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
30.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
29.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
28.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
25.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.8
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.
UBE2H 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
59.6
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
116.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
112.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
107.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
107.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
103.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
101.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
100.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
99.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
95.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
95.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
95.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
93.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
93.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
90.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
89.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
89.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
86.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
83.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
82.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
81.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
81.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
80.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
79.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
78.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
74.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
74.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
72.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
71.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
70.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
70.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
69.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
66.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
66.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
65.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
65.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
64.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
64.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
59.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
58.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
58.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
58.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
57.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
56.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
55.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
52.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
50.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
