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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.
MATR3 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
24.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
100.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
88.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
79.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
50.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
45.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
40.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
35.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
35.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
31.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
30.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
28.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
27.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
27.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
26.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
25.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
24.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
23.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
21.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
21.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
20.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
20.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
20.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
18.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
18.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
15.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
15.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
13.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
13.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
13.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
10.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
10.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
MATR3 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
47.0
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
127.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
120.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
116.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
111.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
108.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
97.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
93.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
89.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
88.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
87.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
87.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
86.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
86.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
86.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
85.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
85.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
83.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
83.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
83.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
82.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
79.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
78.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
78.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
77.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
76.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
75.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
74.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
72.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
71.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
71.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
67.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
66.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
63.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
62.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
62.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
61.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
53.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
52.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
51.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
50.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
48.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
48.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
48.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
46.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
45.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
36.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
32.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
29.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
29.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
28.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
28.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
28.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
28.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
27.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
26.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
26.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
25.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
24.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
24.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
24.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
23.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
23.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
23.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
22.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
22.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
22.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
21.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
21.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
21.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
20.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
20.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
20.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
18.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
18.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
17.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
16.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
14.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
14.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
9.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
7.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
MATR3 is potential prognostic, high expression is favorable in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
23.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
72.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
24.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
21.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
17.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
17.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
16.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
15.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
11.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
10.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
8.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MATR3 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
47.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
138.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
112.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
109.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
107.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
107.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
86.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
85.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
84.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
80.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
80.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
77.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
77.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
76.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
76.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
72.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
72.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
69.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
68.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
67.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
62.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
62.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
61.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
50.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
49.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
49.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
48.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
45.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
32.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
28.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
28.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
27.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
26.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
26.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
24.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
23.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
23.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
21.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
20.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
19.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
15.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
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Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
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
