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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.
MATN2 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
16.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
39.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
34.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
30.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
29.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
29.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
25.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
23.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
23.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
22.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
21.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
21.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
20.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
19.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
14.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
14.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
13.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
12.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
11.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
11.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
10.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
8.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
7.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
6.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
6.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
6.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
5.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
5.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
5.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
5.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
4.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
3.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
MATN2 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
23.2
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
155.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
117.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
104.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
103.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
96.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
81.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
79.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
78.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
61.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
60.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
55.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
36.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
29.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
29.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
29.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
28.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
28.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
28.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
28.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
28.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
28.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
27.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
26.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
26.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
26.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
26.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
25.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
25.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
24.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
24.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
24.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
24.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
24.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
24.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
23.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
23.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
23.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
23.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
23.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
23.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
23.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
22.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
22.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
22.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
22.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
22.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
22.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
22.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
21.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
21.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
21.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
21.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
21.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
21.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
21.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
21.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
21.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
21.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
21.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
20.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
20.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
20.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
20.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
20.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
20.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
20.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
20.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
20.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
19.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
19.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
19.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
19.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
19.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
19.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
19.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
18.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
18.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
18.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
18.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
18.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
17.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
17.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
17.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
17.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
17.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
17.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
17.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
17.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
17.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
17.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
16.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
16.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
16.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
16.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
16.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
16.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
16.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
16.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
16.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
16.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
16.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
16.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
16.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
15.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
15.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
15.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
15.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
15.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
15.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
15.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
15.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
15.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
14.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
14.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
14.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
14.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
14.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
14.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
14.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
14.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
14.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
14.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
14.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
14.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
14.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
14.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
14.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
13.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
13.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
13.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
13.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
13.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
13.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
13.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
13.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
13.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
13.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
13.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
13.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
13.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
13.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
13.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
13.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
13.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
13.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
13.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
12.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
12.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
12.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
12.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
12.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
12.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
12.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
12.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
12.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
12.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
11.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
11.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
11.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
11.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
11.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
11.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
11.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
11.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
11.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
11.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
11.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
11.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
11.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
11.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
11.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
11.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
11.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
10.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
10.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
10.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
10.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
10.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
10.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
10.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
10.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
10.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
10.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
10.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
10.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
10.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
9.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
9.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
9.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
9.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
9.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
9.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
9.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
9.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
9.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
9.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
9.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
9.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
8.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
8.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
8.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
8.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
8.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
8.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
8.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
8.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
8.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
8.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
8.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
7.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
7.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
7.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
7.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
7.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
7.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
7.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
7.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
7.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
7.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
7.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
7.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
6.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
6.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
6.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
6.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
6.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
6.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
6.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
6.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
6.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
6.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
6.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
6.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
6.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
6.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
6.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
6.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
5.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
5.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
5.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
5.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
5.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
5.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
5.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
4.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
4.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
4.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
4.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
4.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
3.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
3.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
3.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
3.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
3.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
3.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
3.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
2.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
2.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
2.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MATN2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
15.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
141.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
138.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
36.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
26.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
26.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
7.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
7.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
7.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
7.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
5.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
5.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
4.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
2.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MATN2 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
21.6
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
100.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
98.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
81.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
65.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
37.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
31.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
27.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
26.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
25.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
25.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
24.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
24.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
24.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
23.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
22.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
22.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
20.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
20.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
20.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
20.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
20.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
20.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
18.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
18.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
18.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
18.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
17.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
17.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
17.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
17.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
17.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
17.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
16.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
16.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
16.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
16.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
16.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
15.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
15.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
15.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
15.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
14.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
14.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
14.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
14.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
13.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
13.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
13.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
13.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
13.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
12.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
12.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
12.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
12.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
12.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
12.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
11.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
11.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
11.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
11.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
11.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
11.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
10.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
10.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
10.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
10.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
10.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
10.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
9.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
9.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
9.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
9.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
9.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
8.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
8.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
8.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
8.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
8.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
8.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
7.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
7.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
7.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
7.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
7.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
6.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
6.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
6.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
6.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
6.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
5.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
5.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
5.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
5.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
4.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
3.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
2.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.5
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
