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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.
SEH1L 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
19.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
63.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
33.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
25.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
25.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
24.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
23.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
23.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
22.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
21.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
20.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
20.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
19.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
17.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
17.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
16.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
15.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 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.
SEH1L 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
46.8
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
131.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
131.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
123.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
123.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
117.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
98.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
98.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
94.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
83.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
82.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
78.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
77.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
77.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
75.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
74.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
73.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
70.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
69.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
68.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
68.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
66.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
65.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
63.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
62.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
61.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
58.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
56.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
54.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
53.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
52.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
52.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
49.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
40.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
36.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
34.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
33.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
31.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
30.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
29.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
29.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
28.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
28.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
27.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
27.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
26.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
26.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
26.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
24.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
24.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
22.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
17.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
SEH1L is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
17.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
29.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
23.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
23.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
21.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
21.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
18.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
14.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
14.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
13.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
12.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
10.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEH1L 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
37.8
Number of samples
207
Samples
Sample
Description
TPM
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
97.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
60.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
52.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
47.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
33.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
33.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
31.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
31.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
28.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
26.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
26.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
26.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
23.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
22.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
21.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
21.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
16.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
14.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
13.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-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
