We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
TOR1AIP2 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
9.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
51.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
18.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
12.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
11.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
11.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
11.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
10.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
9.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
9.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
9.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
8.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
8.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
8.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
8.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
8.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
8.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
8.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
8.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
8.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
7.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
7.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
7.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
7.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
7.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
7.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
6.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
6.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
6.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
6.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
6.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
6.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
6.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
5.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
5.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
5.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
5.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
5.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
5.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
5.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
4.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
4.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
4.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 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.
TOR1AIP2 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
42.9
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
128.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
86.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
74.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
70.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
62.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
59.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
59.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
59.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
56.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
53.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
49.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
48.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
47.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
47.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
45.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
43.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
41.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
39.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
35.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
35.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
33.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
30.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
29.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
29.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
29.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
28.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.6
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.
TOR1AIP2 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
8.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
11.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
10.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
9.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
9.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
7.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
7.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
7.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
7.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
7.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
7.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
6.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
6.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
6.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
6.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
5.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
4.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 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.
TOR1AIP2 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
37.8
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
73.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
52.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
47.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
44.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
37.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.