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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.
MSI2 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
24.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
56.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
35.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
34.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
31.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
31.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
29.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
24.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
24.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
23.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
19.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
18.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
17.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
13.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
11.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 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.
MSI2 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
52.0
Number of samples
486
Samples
Sample
Description
TPM
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
150.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
119.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
116.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
115.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
111.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
107.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
104.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
103.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
96.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
92.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
92.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
91.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
89.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
86.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
86.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
84.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
83.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
82.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
81.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
79.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
78.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
77.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
76.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
74.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
74.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
73.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
72.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
72.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
72.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
71.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
71.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
71.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
70.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
68.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
66.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
66.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
65.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
65.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
64.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
63.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
63.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
60.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
58.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
57.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
54.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
53.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
51.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
50.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
50.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
50.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
49.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
49.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
46.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
45.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
39.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
38.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
35.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
29.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
28.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
26.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
25.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
25.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
24.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
23.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
23.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
21.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
16.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
MSI2 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
24.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
44.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
29.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
27.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
21.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
20.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
18.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
18.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
17.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MSI2 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
48.0
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
145.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
118.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
93.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
92.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
74.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
72.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
71.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
68.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
65.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
64.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
64.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
62.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
60.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
58.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
53.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
48.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
43.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
40.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
