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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.
TRRAP is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
8.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
30.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
13.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
12.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
12.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
11.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
9.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
9.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
9.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
9.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
9.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
9.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
9.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
7.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
7.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
6.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
6.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
5.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
5.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
4.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
4.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
4.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
4.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
TRRAP 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
31.3
Number of samples
486
Samples
Sample
Description
TPM
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
60.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
56.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
55.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
50.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
45.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
40.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
36.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
34.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
32.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
32.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
31.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
30.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
30.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
30.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
30.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
30.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
29.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
29.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
28.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
28.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
28.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
28.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
28.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
28.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
27.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
27.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
27.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
27.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
27.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
27.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
26.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
26.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
26.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
26.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
26.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
26.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
26.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
25.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
25.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
25.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
25.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
24.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
24.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
24.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
23.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
23.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
23.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
23.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
23.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
23.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
23.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
23.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
22.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
22.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
22.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
22.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
22.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
22.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
22.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
22.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
22.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
21.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
21.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
21.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
21.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
21.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
21.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
21.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
20.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
20.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
20.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
20.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
20.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
19.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
19.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
19.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
18.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
18.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
18.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
18.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
17.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
TRRAP 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
8.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
18.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
13.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
12.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
12.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
9.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
8.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
7.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
6.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
4.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRRAP 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
28.4
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
35.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
32.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
30.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
30.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
29.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
28.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
26.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
26.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
26.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
25.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
25.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
25.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
24.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
24.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
24.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
23.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
23.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
23.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
23.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
23.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
23.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
22.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
22.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
21.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
19.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
19.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
19.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
19.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
18.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
18.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
18.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
13.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
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Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
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
