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.
PTER 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
7.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
11.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
11.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
10.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
10.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
10.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
10.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
10.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
9.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
9.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
9.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
9.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
9.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
8.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
8.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
8.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
8.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
8.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
8.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
8.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
7.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
7.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
7.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
7.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
7.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
6.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
6.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
6.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
6.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
6.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
6.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
6.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
6.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
6.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
6.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
5.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
5.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
5.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
5.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
5.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
5.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
4.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
4.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
4.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
3.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 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.
PTER 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
12.3
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
24.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
23.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
22.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
21.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
21.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
20.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
20.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
20.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
20.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
20.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
19.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
19.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
19.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
19.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
19.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
19.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
19.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
18.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
18.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
18.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
18.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
18.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
18.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
18.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
18.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
18.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
18.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
18.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
18.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
17.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
17.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
17.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
17.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
17.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
17.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
17.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
17.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
17.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
17.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
17.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
17.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
17.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
16.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
16.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
16.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
16.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
16.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
16.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
16.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
16.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
16.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
16.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
16.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
16.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
16.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
16.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
16.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
16.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
16.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
16.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
16.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
15.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
15.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
15.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
15.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
15.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
15.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
15.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
15.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
15.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
15.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
15.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
15.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
15.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
15.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
15.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
15.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
15.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
15.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
15.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
15.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
15.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
15.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
15.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
15.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
14.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
14.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
14.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
14.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
14.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
14.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
14.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
14.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
14.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
14.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
14.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
14.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
14.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
14.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
14.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
14.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
14.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
14.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
14.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
14.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
14.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
14.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
14.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
14.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
14.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
13.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
13.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
13.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
13.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
13.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
13.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
13.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
13.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
13.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
13.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
13.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
13.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
13.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
13.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
13.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
13.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
13.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
13.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
13.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
13.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
13.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
13.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
13.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
13.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
13.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
13.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
13.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
13.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
13.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
13.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
13.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
13.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
13.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
13.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
13.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
13.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
13.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
13.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
13.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
13.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
13.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
13.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
13.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
13.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
13.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
13.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
13.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
13.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
12.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
12.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
12.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
12.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
12.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
12.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
12.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
12.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
12.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
12.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
12.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
12.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
12.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
12.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
12.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
12.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
12.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
12.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
12.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
12.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
12.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
12.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
12.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
12.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
12.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
12.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
12.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
12.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
12.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
12.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
12.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
12.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
12.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
12.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
12.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
12.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
12.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
12.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
12.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
12.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
12.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
12.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
12.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
12.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
12.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
12.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
12.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
12.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
12.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
12.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
11.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
11.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
11.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
11.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
11.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
11.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
11.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
11.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
11.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
11.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
11.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
11.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
11.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
11.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
11.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
11.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
11.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
11.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
11.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
11.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
11.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
11.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
11.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
11.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
11.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
11.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
11.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
11.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
11.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
11.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
11.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
11.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
11.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
11.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
11.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
11.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
11.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
10.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
10.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
10.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
10.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
10.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
10.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
10.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
10.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
10.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
10.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
10.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
10.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
10.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
10.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
10.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
10.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
10.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
10.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
10.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
10.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
10.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
10.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
10.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
10.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
10.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
10.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
10.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
10.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
10.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
10.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
10.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
10.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
10.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
10.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
10.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
10.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
10.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
10.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
10.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
10.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
9.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
9.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
9.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
9.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
9.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
9.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
9.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
9.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
9.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
9.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
9.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
9.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
9.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
9.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
9.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
9.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
9.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
9.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
9.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
9.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
9.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
9.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
9.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
9.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
9.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
9.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
9.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
9.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
9.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
9.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
9.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
9.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
9.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
9.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
9.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
9.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
9.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
9.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
9.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
9.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
9.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
9.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
9.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
9.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
9.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
9.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
9.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
9.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
9.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
8.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
8.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
8.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
8.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
8.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
8.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
8.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
8.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
8.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
8.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
8.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
8.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
8.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
8.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
8.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
8.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
8.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
8.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
8.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
8.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
8.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
8.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
8.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
8.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
8.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
8.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
8.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
8.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
8.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
8.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
8.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
8.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
7.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
7.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
7.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
7.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
7.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
7.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
7.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
7.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
7.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
7.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
7.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
7.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
7.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
7.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
7.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
7.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
7.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
7.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
7.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
7.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
6.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
6.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
6.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
6.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
6.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
6.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
6.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
6.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
6.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
6.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
5.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
5.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
5.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
5.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
5.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
5.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
5.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
5.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
5.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
5.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
4.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
4.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
PTER 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
6.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
11.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
7.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
7.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
7.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
7.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
7.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
6.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
6.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
6.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
6.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
5.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
4.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
4.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
4.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
4.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PTER 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
11.2
Number of samples
207
Samples
Sample
Description
TPM
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
19.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
19.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
19.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
18.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
18.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
18.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
17.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
17.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
17.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
17.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
16.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
16.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
16.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
16.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
16.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
16.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
16.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
16.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
15.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
15.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
15.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
15.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
14.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
14.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
14.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
14.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
14.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
14.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
14.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
14.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
14.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
14.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
14.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
13.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
13.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
13.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
13.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
13.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
13.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
13.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
13.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
13.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
13.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
13.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
12.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
12.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
12.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
12.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
12.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
12.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
12.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
12.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
12.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
11.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
11.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
11.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
11.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
11.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
11.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
11.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
11.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
11.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
11.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
11.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
11.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
11.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
11.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
11.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
11.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
11.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
11.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
11.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
11.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
10.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
10.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
10.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
10.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
10.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
10.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
10.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
10.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
10.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
10.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
10.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
10.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
10.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
10.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
10.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
10.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
10.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
10.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
10.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
10.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
10.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
10.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
10.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
9.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
9.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
9.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
9.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
9.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
9.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
9.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
9.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
9.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
9.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
9.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
9.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
9.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
9.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
9.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
9.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
9.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
9.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
8.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
8.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
8.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
8.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
8.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
8.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
8.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
8.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
8.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
8.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
8.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
8.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
8.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
8.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
8.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
8.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
8.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
7.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
7.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
7.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
7.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
7.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
7.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
7.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
7.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
7.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
7.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
7.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
6.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
6.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
6.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
6.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
5.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
5.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
5.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
5.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
5.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
5.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
5.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
5.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
4.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
2.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
1.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
