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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.
ITGA5 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
30.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
511.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
191.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
145.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
138.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
131.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
108.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
107.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
106.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
105.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
94.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
90.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
89.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
82.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
77.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
67.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
63.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
50.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
50.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
48.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
39.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
37.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
34.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
31.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
28.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
25.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
23.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
22.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
20.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
19.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
17.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
13.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
12.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
6.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
ITGA5 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.6
Number of samples
486
Samples
Sample
Description
TPM
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
219.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
217.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
211.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
209.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
205.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
199.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
196.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
185.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
179.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
174.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
158.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
157.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
155.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
150.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
149.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
146.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
144.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
139.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
138.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
134.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
134.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
132.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
131.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
130.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
129.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
129.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
129.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
128.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
127.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
125.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
125.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
124.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
123.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
123.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
117.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
114.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
112.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
111.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
111.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
109.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
109.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
108.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
106.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
106.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
106.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
101.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
99.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
97.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
94.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
93.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
89.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
89.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
89.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
86.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
84.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
82.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
80.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
76.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
75.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
75.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
74.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
73.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
69.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
67.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
66.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
64.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
62.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
61.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
53.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
52.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
51.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
51.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
43.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
40.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
39.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
30.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
29.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
28.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
28.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
27.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
27.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
26.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
26.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
26.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
25.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
25.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
25.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
25.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
24.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
24.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
23.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
23.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
23.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
23.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
22.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
22.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
22.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
22.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
22.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
22.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
21.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
21.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
21.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
21.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
21.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
21.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
20.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
20.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
20.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
19.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
19.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
19.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
18.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
18.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
17.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
17.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
17.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
17.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
17.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
17.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
16.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
16.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
16.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
16.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
16.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
16.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
15.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
15.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
15.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
15.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
14.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
14.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
14.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
14.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
14.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
14.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
13.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
13.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
12.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
12.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
12.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
12.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
12.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
12.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
12.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
12.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
12.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
12.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
12.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
11.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
11.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
11.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
11.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
11.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
11.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
10.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
10.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
10.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
9.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
9.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
9.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
9.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
9.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
9.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
8.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
8.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
8.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
7.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
7.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
7.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
5.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
5.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITGA5 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
27.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
125.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
106.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
103.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
96.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
28.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
18.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
17.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
14.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITGA5 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
39.9
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
206.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
198.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
196.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
160.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
156.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
137.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
124.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
124.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
113.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
112.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
112.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
109.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
102.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
102.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
97.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
96.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
94.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
90.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
84.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
80.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
76.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
32.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
26.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
24.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
23.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
21.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
21.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
20.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
20.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
20.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
19.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
19.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
18.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
18.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
17.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
16.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
16.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
15.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
15.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
15.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
15.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
14.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
14.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
14.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
14.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
14.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
13.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
12.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
12.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
12.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
11.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
11.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
11.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
11.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
11.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
10.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
10.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
8.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
7.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
6.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
5.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
2.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
2.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
2.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
2.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
2.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
1.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.1
963fc8db-f412-4427-a198-23f660_D2
Normal
1.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-2.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
