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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.
EVL 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
11.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
82.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
33.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
31.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
26.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
19.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
17.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
16.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
12.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
11.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
10.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
10.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
8.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
7.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
6.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
6.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
5.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
5.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
4.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
EVL 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
20.6
Number of samples
486
Samples
Sample
Description
TPM
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
39.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
34.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
31.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
30.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
28.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
28.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
27.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
27.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
27.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
26.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
26.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
26.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
25.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
24.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
24.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
24.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
24.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
24.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
23.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
23.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
23.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
23.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
23.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
23.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
23.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
22.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
22.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
22.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
22.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
22.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
22.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
22.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
22.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
22.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
22.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
22.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
22.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
22.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
22.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
21.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
21.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
21.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
21.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
21.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
21.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
21.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
21.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
21.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
21.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
20.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
20.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
20.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
20.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
20.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
20.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
20.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
20.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
20.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
20.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
20.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
20.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
20.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
19.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
19.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
19.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
19.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
19.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
19.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
19.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
19.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
19.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
19.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
19.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
18.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
18.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
18.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
18.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
18.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
18.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
18.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
18.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
18.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
18.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
18.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
18.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
18.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
18.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
17.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
17.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
17.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
17.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
17.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
17.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
17.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
17.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
17.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
17.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
17.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
17.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
17.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
17.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
17.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
17.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
17.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
17.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
17.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
17.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
17.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
16.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
16.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
16.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
16.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
16.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
16.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
16.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
16.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
16.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
16.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
16.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
16.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
16.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
16.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
16.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
15.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
15.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
15.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
15.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
15.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
15.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
15.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
15.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
14.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
14.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
14.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
14.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
14.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
14.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
14.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
14.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
14.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
14.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
14.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
14.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
14.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
14.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
14.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
14.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
14.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
14.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
14.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
14.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
13.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
13.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
13.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
13.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
13.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
13.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
13.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
13.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
13.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
13.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
13.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
13.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
13.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
13.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
13.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
13.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
13.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
13.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
13.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
12.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
12.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
12.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
12.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
12.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
12.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
12.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
12.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
12.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
12.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
12.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
12.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
11.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
11.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
11.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
11.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
11.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
11.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
11.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
11.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
11.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
11.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
11.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
11.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
11.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
11.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
10.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
10.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
10.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
10.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
10.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
10.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
10.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
10.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
10.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
10.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
10.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
10.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
10.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
10.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
10.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
10.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
9.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
9.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
9.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
9.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
9.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
9.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
9.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
9.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
9.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
9.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
9.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
8.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
8.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
8.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
8.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
8.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
8.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
8.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
8.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
8.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
8.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
8.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
8.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
8.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
8.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
8.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
7.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
7.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
7.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
7.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
7.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
7.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
7.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
7.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
7.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
6.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
6.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
6.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
6.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
6.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
6.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
6.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
6.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
6.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
5.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
5.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
5.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
4.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
4.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
3.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.5
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.
EVL 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
10.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
19.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
18.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
10.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
10.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
6.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
6.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
6.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
5.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EVL 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
19.2
Number of samples
207
Samples
Sample
Description
TPM
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
73.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
31.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
30.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
29.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
23.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
23.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
23.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
23.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
22.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
22.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
21.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
21.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
21.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
21.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
20.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
20.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
19.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
19.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
19.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
19.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
19.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
18.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
18.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
18.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
18.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
18.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
18.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
18.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
18.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
17.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
17.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
17.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
17.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
17.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
17.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
17.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
16.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
16.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
16.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
16.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
16.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
16.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
15.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
15.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
15.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
15.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
15.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
15.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
15.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
14.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
14.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
14.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
14.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
14.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
14.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
14.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
14.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
14.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
14.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
14.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
13.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
13.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
13.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
13.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
13.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
13.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
13.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
12.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
12.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
12.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
12.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
12.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
11.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
11.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
11.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
11.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
11.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
11.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
10.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
10.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
10.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
10.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
9.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
9.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
9.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
9.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
9.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
9.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
9.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
8.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
8.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
8.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
8.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
8.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
8.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
8.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
8.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
7.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
7.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
7.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
7.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
7.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
5.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
4.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
3.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
3.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
1.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.1
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
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
