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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.
DYM 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
18.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
35.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
31.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
28.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
23.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
23.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
21.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
21.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
21.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
19.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
18.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
18.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
17.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
15.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
12.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
11.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 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.
DYM 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
46.2
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
183.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
131.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
103.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
80.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
77.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
71.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
66.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
66.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
65.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
64.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
62.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
61.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
60.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
59.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
57.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
57.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
56.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
56.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
56.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
55.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
55.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
55.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
54.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
51.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
50.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
47.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
47.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
44.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
43.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
33.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
32.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
29.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
25.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
23.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DYM 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
15.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
15.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
14.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
13.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
13.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
DYM 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
38.6
Number of samples
207
Samples
Sample
Description
TPM
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
199.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
124.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
75.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
74.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
48.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
46.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
45.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
44.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
26.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
25.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.8
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.1
b2400046-1d25-429d-a821-6040a6
Tumor
-1.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-2.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.