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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.
OSBPL2 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
29.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
95.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
62.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
59.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
56.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
56.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
49.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
46.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
46.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
45.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
40.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
40.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
39.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
38.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
38.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
35.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
35.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
35.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
34.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
34.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
28.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
28.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
27.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
24.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
23.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
22.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
21.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
21.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
21.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
19.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
18.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
18.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
17.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 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.
OSBPL2 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
50.3
Number of samples
486
Samples
Sample
Description
TPM
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
120.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
117.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
116.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
107.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
103.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
102.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
96.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
95.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
92.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
92.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
92.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
91.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
91.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
89.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
89.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
88.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
87.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
84.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
81.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
80.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
78.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
77.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
74.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
70.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
68.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
68.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
67.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
66.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
65.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
65.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
63.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
61.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
61.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
58.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
58.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
54.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
52.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
51.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
51.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
51.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
50.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
49.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
41.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
37.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
32.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
27.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
26.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
OSBPL2 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
32.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
59.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
48.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
44.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
39.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
34.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
31.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
30.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
22.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
22.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
OSBPL2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
54.5
Number of samples
207
Samples
Sample
Description
TPM
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
111.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
103.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
103.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
98.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
98.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
93.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
91.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
88.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
87.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
86.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
86.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
85.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
85.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
81.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
80.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
80.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
79.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
79.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
78.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
77.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
74.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
72.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
71.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
70.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
69.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
69.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
69.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
66.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
62.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
61.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
60.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
60.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
53.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
50.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
34.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
29.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
26.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
