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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.
SKIL 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
12.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
102.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
80.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
19.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
17.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
14.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
14.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
11.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
11.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
11.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
10.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
10.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
9.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
9.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
8.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
8.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
8.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
8.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
8.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
8.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
6.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
5.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 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.
SKIL 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
55.8
Number of samples
486
Samples
Sample
Description
TPM
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
178.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
154.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
134.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
124.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
122.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
121.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
116.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
116.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
114.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
113.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
110.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
108.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
108.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
107.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
107.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
107.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
105.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
105.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
103.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
102.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
100.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
99.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
98.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
98.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
97.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
96.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
95.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
95.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
92.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
92.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
91.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
91.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
89.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
89.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
87.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
86.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
86.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
85.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
85.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
84.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
84.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
83.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
83.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
82.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
82.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
81.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
80.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
80.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
80.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
79.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
77.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
76.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
75.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
74.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
73.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
73.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
72.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
71.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
71.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
71.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
70.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
69.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
69.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
68.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
68.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
68.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
67.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
67.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
65.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
64.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
64.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
60.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
60.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
58.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
58.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
58.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
58.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
57.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
56.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
56.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
56.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
55.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
53.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
44.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
39.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
39.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
36.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
35.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
32.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
32.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
28.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
27.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
25.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
23.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
21.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
20.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
18.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
16.0
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.
SKIL is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
28.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
15.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
7.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
5.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SKIL 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
56.2
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
155.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
108.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
98.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
93.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
91.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
89.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
87.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
86.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
85.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
83.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
83.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
82.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
81.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
81.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
80.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
78.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
77.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
77.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
77.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
76.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
74.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
73.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
73.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
72.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
71.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
70.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
70.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
69.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
69.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
68.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
67.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
67.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
67.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
64.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
63.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
57.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
49.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
45.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
23.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
