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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.
MTUS1 is potential prognostic, high expression is favorable 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
17.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
81.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
32.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
30.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
28.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
20.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
20.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
19.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
18.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
14.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
14.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
14.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
10.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
10.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
10.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
9.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
9.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
9.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
8.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
MTUS1 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
43.7
Number of samples
486
Samples
Sample
Description
TPM
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
135.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
123.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
116.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
109.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
99.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
97.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
96.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
93.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
93.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
89.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
89.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
87.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
87.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
87.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
86.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
85.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
81.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
80.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
79.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
78.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
78.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
77.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
70.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
69.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
68.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
67.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
66.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
63.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
62.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
61.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
59.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
58.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
56.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
50.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
48.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
41.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
38.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
36.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
35.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
34.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
34.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
32.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
31.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
30.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
29.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
29.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
29.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
27.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
27.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
26.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
26.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
26.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
26.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
26.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
25.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
25.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
25.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
24.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
24.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
24.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
23.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
23.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
23.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
23.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
22.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
22.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
22.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
21.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
21.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
21.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
20.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
20.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
20.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
19.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
19.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
19.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
19.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
19.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
18.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
18.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
18.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
18.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
17.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
17.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
16.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
15.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
15.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
15.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
14.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
14.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
13.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
10.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
7.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
MTUS1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
15.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
31.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
29.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
29.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
19.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
13.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
9.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
8.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.1
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.
MTUS1 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
36.4
Number of samples
207
Samples
Sample
Description
TPM
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
97.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
65.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
58.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
39.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
38.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
29.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
28.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
28.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
27.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
25.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
23.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
23.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
23.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
21.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
21.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
19.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
18.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
18.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
18.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
15.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
15.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
15.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
14.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
14.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
14.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
13.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
12.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
