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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.
OAF 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
45.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
138.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
101.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
97.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
81.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
81.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
79.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
78.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
74.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
74.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
72.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
70.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
69.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
68.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
68.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
64.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
63.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
63.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
62.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
62.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
61.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
60.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
59.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
59.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
59.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
58.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
58.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
57.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
56.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
55.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
53.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
52.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
50.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
49.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
48.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
48.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
46.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
45.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
44.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
42.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
37.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
36.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
34.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
26.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
24.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
24.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
22.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
22.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
OAF 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
42.5
Number of samples
486
Samples
Sample
Description
TPM
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
87.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
79.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
78.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
70.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
66.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
62.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
61.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
60.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
60.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
60.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
57.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
57.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
54.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
52.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
51.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
51.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
39.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
34.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
33.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
33.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
33.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
32.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
31.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
30.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
30.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
30.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
30.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
29.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
28.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
28.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
27.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
27.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
26.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
26.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
25.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
24.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
24.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
24.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
23.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
22.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
22.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
22.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
21.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
20.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
20.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
20.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
18.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
18.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
17.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
16.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
OAF 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
44.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
100.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
96.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
77.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
73.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
67.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
67.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
67.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
65.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
59.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
59.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
54.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
54.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
44.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
42.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
41.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
31.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 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.
OAF 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
41.3
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
89.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
77.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
64.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
64.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
62.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
47.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
34.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
29.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
22.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
16.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
