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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.
MAPRE2 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
13.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
29.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
19.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
17.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
16.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
16.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
16.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
15.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
15.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
15.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
14.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
13.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
11.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
11.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
11.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
9.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
9.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
9.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
7.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
MAPRE2 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
40.9
Number of samples
486
Samples
Sample
Description
TPM
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
97.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
94.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
93.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
90.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
90.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
88.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
87.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
84.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
81.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
80.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
80.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
77.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
75.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
73.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
71.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
64.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
64.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
60.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
59.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
50.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
45.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
42.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
40.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
38.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
35.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
33.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
33.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
31.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
30.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
30.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
29.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
29.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
28.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
28.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
28.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
28.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
28.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
27.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
27.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
27.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
26.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
26.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
25.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
25.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
25.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
24.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
24.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
23.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
23.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
23.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
23.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
23.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
23.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
22.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
22.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
21.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
20.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
20.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
20.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
19.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
19.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
18.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
18.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
17.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
15.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
14.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
MAPRE2 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
11.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
36.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
19.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
13.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
11.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
10.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
9.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
7.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.1
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.
MAPRE2 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
33.6
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
117.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
77.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
68.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
56.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
33.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
32.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
31.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
31.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
29.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
27.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
27.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
26.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
25.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
24.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
24.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
23.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
20.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
20.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
20.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
18.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
18.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
18.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
18.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
18.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
18.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
17.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
14.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
11.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
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Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
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Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Normal
0.0
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Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
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Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
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Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
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
