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.
GLTP 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
20.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
32.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
24.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
22.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
21.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
21.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
21.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
19.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
18.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
18.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
15.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
15.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
15.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
14.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
GLTP is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
31.8
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
81.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
61.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
54.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
35.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
35.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
35.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
35.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
35.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
33.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
33.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
33.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
32.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
32.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
31.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
30.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
29.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
29.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
29.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
29.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
29.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
28.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
28.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
28.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
28.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
28.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
27.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
27.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
27.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
27.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
27.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
27.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
26.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
26.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
26.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
26.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
26.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
26.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
25.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
25.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
25.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
24.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
24.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
24.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
24.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
23.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
23.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
23.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
23.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
23.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
22.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
22.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
22.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
22.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
21.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
21.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
21.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
21.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
21.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
21.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
20.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
20.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
20.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
19.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
19.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
18.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
18.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
18.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
18.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
17.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
17.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
17.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
16.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
15.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GLTP 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
19.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
28.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
27.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
24.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
20.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
12.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GLTP is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
28.3
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
43.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
35.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
35.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
34.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
34.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
32.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
31.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
30.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
30.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
29.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
28.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
26.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
26.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
24.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
23.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
23.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
23.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
22.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
22.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
22.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
22.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
20.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
20.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
19.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
19.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
18.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
17.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
17.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
17.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
17.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
16.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
16.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
15.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-2.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-4.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
