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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.
OAS2 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
13.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
112.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
82.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
70.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
64.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
59.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
34.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
25.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
25.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
20.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
19.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
15.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
13.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
11.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
11.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
9.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
9.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
9.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
7.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
7.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
7.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
6.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
6.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
6.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
5.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
5.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
5.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
5.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
5.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
4.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 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.
OAS2 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
28.0
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
169.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
151.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
142.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
139.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
135.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
132.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
127.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
120.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
117.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
117.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
112.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
112.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
110.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
106.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
105.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
99.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
98.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
97.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
95.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
92.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
85.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
76.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
70.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
62.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
60.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
53.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
51.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
47.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
41.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
38.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
30.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
30.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
29.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
28.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
27.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
26.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
25.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
25.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
25.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
25.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
25.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
24.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
24.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
24.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
24.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
23.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
23.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
23.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
23.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
23.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
22.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
22.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
22.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
22.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
21.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
21.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
21.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
21.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
21.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
21.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
21.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
20.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
20.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
20.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
20.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
20.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
20.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
20.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
20.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
19.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
19.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
19.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
19.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
19.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
19.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
19.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
18.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
18.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
18.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
18.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
18.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
18.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
18.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
18.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
17.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
17.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
17.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
17.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
17.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
17.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
17.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
17.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
17.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
16.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
16.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
16.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
16.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
16.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
16.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
15.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
15.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
15.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
15.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
15.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
15.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
15.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
14.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
14.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
14.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
14.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
14.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
14.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
14.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
14.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
14.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
13.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
13.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
13.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
13.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
13.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
13.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
13.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
13.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
13.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
13.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
13.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
13.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
13.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
13.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
13.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
12.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
12.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
12.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
12.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
12.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
12.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
12.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
12.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
12.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
12.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
12.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
12.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
12.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
12.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
11.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
11.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
11.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
11.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
11.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
11.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
11.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
11.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
11.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
11.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
11.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
11.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
11.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
11.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
11.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
10.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
10.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
10.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
10.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
10.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
10.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
10.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
10.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
10.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
10.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
10.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
10.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
10.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
10.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
10.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
10.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
10.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
10.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
9.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
9.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
9.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
9.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
9.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
9.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
9.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
9.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
9.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
9.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
9.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
9.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
9.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
9.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
9.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
9.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
8.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
8.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
8.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
8.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
8.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
8.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
8.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
8.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
8.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
8.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
8.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
8.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
8.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
8.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
8.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
8.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
8.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
7.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
7.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
7.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
7.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
7.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
7.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
7.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
7.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
7.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
7.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
7.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
7.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
7.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
7.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
7.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
7.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
7.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
7.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
7.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
7.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
7.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
7.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
7.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
7.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
7.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
7.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
6.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
6.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
6.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
6.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
6.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
6.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
6.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
6.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
6.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
6.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
6.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
6.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
6.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
6.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
6.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
6.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
5.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
5.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
5.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
5.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
5.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
5.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
5.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
5.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
5.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
5.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
5.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
4.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
4.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
4.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
4.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
4.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
4.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
4.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
4.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
4.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
4.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
4.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
3.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
3.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
3.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
3.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
3.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
2.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
2.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
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.
OAS2 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
11.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
64.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
25.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
15.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
15.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
7.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
7.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
6.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
6.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
6.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
4.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
3.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
3.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
OAS2 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
20.5
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
104.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
98.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
72.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
67.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
61.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
49.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
31.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
28.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
28.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
25.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
25.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
24.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
23.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
23.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
22.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
21.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
21.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
20.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
19.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
19.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
19.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
19.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
18.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
17.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
17.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
17.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
17.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
17.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
17.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
17.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
17.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
17.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
17.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
16.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
15.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
15.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
15.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
15.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
15.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
14.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
14.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
13.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
13.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
12.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
12.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
12.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
12.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
12.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
12.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
11.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
11.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
11.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
11.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
11.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
11.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
10.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
10.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
10.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
10.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
10.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
10.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
10.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
10.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
10.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
10.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
10.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
9.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
9.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
9.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
9.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
9.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
9.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
9.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
9.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
9.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
9.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
9.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
8.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
8.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
8.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
8.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
8.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
8.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
8.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
8.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
7.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
7.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
7.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
7.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
7.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
7.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
7.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
7.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
7.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
7.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
7.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
6.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
6.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
6.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
6.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
6.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
5.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
5.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
5.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
5.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
5.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
5.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
5.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
5.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
5.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
5.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
4.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
4.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
4.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
4.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
3.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
3.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
2.0
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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
1.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
1.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
1.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
1.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.9
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.9
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.2
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
