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.
TERF2 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
17.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
42.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
24.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
23.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
22.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
21.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
21.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
21.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
21.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
20.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
19.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
19.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
19.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
18.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
17.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
17.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
17.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
17.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
17.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
17.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
17.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
16.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
16.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
15.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
14.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
13.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
12.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
TERF2 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
36.1
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
73.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
59.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
55.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
53.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
44.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
43.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
42.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
41.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
39.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
39.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
39.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
39.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
37.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
37.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
36.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
34.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
34.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
33.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
33.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
32.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
31.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
31.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
30.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
30.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
30.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
30.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
30.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
29.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
28.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
28.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
28.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
28.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
27.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
27.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
26.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
23.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TERF2 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
16.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
25.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
19.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
18.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
18.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
18.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
16.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
13.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
13.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
TERF2 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
34.6
Number of samples
207
Samples
Sample
Description
TPM
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
60.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
54.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
32.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
32.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
30.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
30.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
29.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
26.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
24.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
