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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.
FRYL is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
136.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
104.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
98.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
76.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
60.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
28.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
27.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
24.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
23.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
21.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
17.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
14.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
13.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
13.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
12.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
11.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
10.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
9.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
9.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
9.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
8.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
8.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
8.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
7.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
7.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
7.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
6.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
6.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
6.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
5.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
FRYL 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
83.1
Number of samples
486
Samples
Sample
Description
TPM
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
291.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
242.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
228.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
210.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
194.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
192.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
187.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
187.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
186.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
181.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
177.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
177.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
176.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
168.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
167.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
166.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
160.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
160.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
159.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
158.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
157.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
157.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
155.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
153.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
151.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
150.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
149.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
149.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
144.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
144.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
142.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
141.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
140.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
139.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
138.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
138.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
136.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
135.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
134.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
134.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
133.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
132.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
131.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
130.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
130.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
129.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
129.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
128.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
128.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
126.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
126.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
126.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
126.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
125.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
124.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
123.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
123.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
122.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
122.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
122.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
122.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
122.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
121.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
120.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
119.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
119.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
118.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
118.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
118.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
118.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
117.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
117.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
117.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
117.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
116.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
116.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
116.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
115.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
115.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
113.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
113.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
113.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
113.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
112.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
112.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
112.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
111.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
111.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
111.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
111.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
110.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
110.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
109.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
109.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
109.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
109.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
108.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
108.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
107.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
107.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
107.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
107.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
106.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
106.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
106.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
106.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
106.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
105.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
105.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
105.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
104.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
104.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
104.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
103.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
103.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
103.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
102.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
102.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
102.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
102.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
102.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
102.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
102.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
102.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
102.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
102.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
101.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
101.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
100.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
100.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
99.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
99.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
98.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
98.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
98.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
98.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
98.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
98.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
98.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
97.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
97.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
97.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
97.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
96.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
96.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
96.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
96.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
96.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
96.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
95.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
94.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
94.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
94.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
93.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
93.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
93.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
92.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
91.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
90.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
90.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
90.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
89.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
89.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
89.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
89.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
89.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
88.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
88.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
87.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
87.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
85.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
84.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
84.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
84.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
83.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
83.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
83.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
82.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
82.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
82.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
82.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
81.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
78.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
78.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
78.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
78.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
78.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
77.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
77.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
77.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
77.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
77.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
75.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
75.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
75.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
74.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
73.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
72.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
72.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
72.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
71.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
71.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
71.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
70.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
69.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
69.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
69.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
68.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
68.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
67.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
65.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
63.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
62.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
62.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
57.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
56.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
54.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
53.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
51.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
47.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
45.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
45.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
39.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
39.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
38.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
FRYL is potential prognostic, high expression is favorable in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
10.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
34.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
11.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
10.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
8.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
5.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
4.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
FRYL 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
81.6
Number of samples
207
Samples
Sample
Description
TPM
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
190.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
178.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
173.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
172.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
165.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
163.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
161.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
157.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
154.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
154.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
151.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
148.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
146.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
146.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
143.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
141.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
141.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
138.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
136.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
134.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
134.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
132.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
130.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
130.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
130.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
130.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
128.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
127.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
127.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
127.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
125.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
123.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
120.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
120.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
119.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
119.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
118.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
114.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
111.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
110.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
110.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
110.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
109.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
108.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
108.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
103.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
103.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
102.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
101.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
100.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
100.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
99.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
99.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
99.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
98.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
97.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
97.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
96.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
96.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
93.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
93.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
92.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
92.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
92.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
91.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
90.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
90.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
90.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
89.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
87.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
86.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
85.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
85.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
85.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
83.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
83.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
83.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
83.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
82.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
82.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
81.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
80.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
77.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
77.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
77.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
76.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
75.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
74.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
72.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
72.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
71.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
68.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
68.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
66.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
66.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
65.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
63.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
47.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
18.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.9
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
