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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.
COL15A1 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
23.5
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
555.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
171.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
136.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
99.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
92.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
70.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
52.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
32.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
29.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
28.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
26.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
25.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
25.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
24.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
22.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
19.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.3
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-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
COL15A1 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
44.0
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
391.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
299.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
202.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
184.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
162.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
160.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
159.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
156.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
150.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
150.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
148.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
138.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
137.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
137.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
136.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
134.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
132.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
129.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
128.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
124.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
123.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
117.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
115.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
115.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
115.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
115.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
110.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
109.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
109.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
108.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
107.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
105.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
101.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
96.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
94.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
93.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
92.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
92.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
86.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
84.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
83.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
82.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
82.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
80.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
80.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
79.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
78.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
77.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
75.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
68.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
62.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
60.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
41.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
39.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
37.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
35.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
32.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
30.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
28.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
27.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
26.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
26.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
25.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
25.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
25.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
25.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
24.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
24.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
24.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
24.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
23.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
23.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
22.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
22.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
22.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
21.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
21.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
21.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
21.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
21.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
20.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
20.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
20.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
20.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
19.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
19.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
19.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
18.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
18.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
18.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
18.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
18.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
18.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
18.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
18.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
17.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
17.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
17.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
17.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
17.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
17.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
17.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
16.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
16.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
16.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
16.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
15.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
15.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
15.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
14.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
14.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
14.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
14.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
14.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
13.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
13.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
13.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
12.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
12.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
12.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
12.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
12.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
11.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
11.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
11.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
11.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
11.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
11.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
11.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
10.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
10.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
8.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
8.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
8.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
8.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
8.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
7.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
7.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
6.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
6.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
6.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
6.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
5.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
5.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
5.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
3.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COL15A1 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
22.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
163.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
105.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
65.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
62.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
58.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
47.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
44.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
21.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
18.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
15.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
6.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
4.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.3
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.
COL15A1 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
42.7
Number of samples
207
Samples
Sample
Description
TPM
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
250.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
163.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
160.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
156.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
147.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
146.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
135.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
122.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
121.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
114.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
111.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
111.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
102.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
90.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
89.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
89.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
88.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
79.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
79.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
71.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
68.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
68.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
68.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
51.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
30.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
27.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
23.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
21.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
20.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
19.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
19.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
18.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
17.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
16.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
16.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
16.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
15.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
15.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
15.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
14.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
14.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
14.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
14.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
13.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
12.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
10.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
9.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
9.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
8.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
7.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
6.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
6.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
6.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
5.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
4.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
1c070992-647b-4173-a481-904c4d_D2
Normal
1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.5
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.