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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.
OSBPL8 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
9.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
65.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
63.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
53.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
16.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
16.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
15.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
13.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
13.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
13.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
12.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
11.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
11.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
10.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
10.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
10.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
9.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
8.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
8.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
8.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
7.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
7.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
6.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
6.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
6.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
6.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
5.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
5.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
4.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
4.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
OSBPL8 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
40.6
Number of samples
486
Samples
Sample
Description
TPM
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
118.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
94.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
93.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
72.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
63.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
59.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
59.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
55.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
53.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
53.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
52.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
47.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
45.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
38.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
36.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
35.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
35.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
34.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
34.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
33.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
32.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
30.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
30.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
30.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
29.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
29.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
28.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
27.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
25.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
23.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
23.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
23.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
23.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
22.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
22.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
21.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
20.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
15.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
OSBPL8 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
9.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
20.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
20.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
19.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
16.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
14.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
13.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
10.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
10.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
10.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
10.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
7.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OSBPL8 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
34.3
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
58.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
40.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
30.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
28.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
28.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
27.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
26.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
26.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
26.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
22.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
21.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
21.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
21.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
20.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
20.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
19.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
18.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
18.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
17.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
15.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
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Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
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Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
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Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
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Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
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Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
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Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
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
