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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.
DYRK2 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
13.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
26.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
22.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
20.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
20.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
19.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
18.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
18.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
17.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
14.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
14.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
14.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
12.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
12.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
12.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
10.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
9.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
DYRK2 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
52.9
Number of samples
486
Samples
Sample
Description
TPM
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
132.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
112.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
108.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
107.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
95.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
94.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
91.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
90.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
85.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
84.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
83.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
82.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
82.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
81.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
80.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
79.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
79.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
77.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
75.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
74.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
74.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
74.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
73.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
73.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
72.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
72.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
71.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
70.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
69.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
68.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
68.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
67.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
67.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
66.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
66.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
66.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
65.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
65.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
65.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
64.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
64.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
63.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
63.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
63.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
62.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
61.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
60.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
60.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
60.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
59.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
59.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
59.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
55.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
54.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
54.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
52.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
52.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
51.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
51.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
44.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
43.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
43.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
35.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
30.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
DYRK2 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
12.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
25.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
17.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
15.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
14.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
14.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
12.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
10.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
7.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.7
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.
DYRK2 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
47.2
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
125.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
84.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
77.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
73.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
72.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
70.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
67.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
58.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
56.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
52.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
48.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
