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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.
UPF1 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
33.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
60.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
59.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
58.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
54.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
51.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
50.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
49.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
48.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
47.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
46.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
44.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
43.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
42.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
40.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
40.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
38.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
35.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
35.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
34.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
33.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
33.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
33.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
33.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
31.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
28.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
22.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
22.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UPF1 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
40.3
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
89.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
75.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
70.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
61.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
58.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
52.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
51.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
40.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
38.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
36.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
35.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
35.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
35.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
31.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
31.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
29.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
29.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
UPF1 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
33.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
58.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
46.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
45.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
42.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
37.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.6
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.
UPF1 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
37.0
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
27.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
