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.
OSBP 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
25.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
36.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
34.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
34.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
33.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
33.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
31.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
31.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
31.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
30.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
29.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
29.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
28.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
28.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
27.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
27.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
26.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
26.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
26.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
26.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
24.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
24.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
23.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
23.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
22.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
22.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
21.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
19.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 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.
OSBP 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
48.0
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
84.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
83.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
80.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
78.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
70.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
67.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
66.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
66.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
65.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
65.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
63.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
58.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
56.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
53.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
53.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
53.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
52.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
51.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
46.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
42.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
39.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
39.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
38.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
37.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OSBP 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
25.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
45.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
35.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
35.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
24.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
24.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
24.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
24.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
20.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
16.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
15.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OSBP is potential prognostic, high expression is unfavorable 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
43.0
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
77.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
69.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
62.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
56.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
45.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
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.