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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.
LTBP4 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
36.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
153.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
127.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
114.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
107.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
106.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
91.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
87.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
87.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
86.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
83.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
82.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
79.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
79.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
77.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
75.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
74.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
72.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
64.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
62.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
62.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
58.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
56.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
56.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
53.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
51.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
50.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
47.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
44.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
42.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
36.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
33.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
25.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
23.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
22.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
20.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
17.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
16.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
14.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
12.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
12.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
11.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
11.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
7.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 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.
LTBP4 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
59.0
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
243.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
223.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
177.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
173.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
171.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
162.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
151.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
147.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
144.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
142.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
136.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
134.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
133.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
131.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
131.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
131.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
130.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
129.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
128.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
123.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
118.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
117.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
114.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
114.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
114.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
112.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
110.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
110.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
108.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
107.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
107.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
105.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
102.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
102.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
100.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
99.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
98.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
96.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
93.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
92.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
92.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
92.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
91.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
90.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
89.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
89.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
88.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
87.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
87.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
86.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
86.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
86.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
85.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
84.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
84.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
84.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
83.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
83.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
81.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
81.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
81.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
79.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
79.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
79.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
78.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
77.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
77.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
76.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
76.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
75.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
75.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
74.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
74.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
73.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
73.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
73.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
72.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
72.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
72.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
71.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
69.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
68.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
68.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
67.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
64.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
52.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
51.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
49.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
47.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
45.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
41.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
40.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
33.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
31.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
30.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
27.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
27.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
26.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
26.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
25.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
24.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
22.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
22.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
22.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
22.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
21.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
20.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
19.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
19.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
18.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
17.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
17.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
17.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
14.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
13.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
11.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LTBP4 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
38.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
142.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
111.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
101.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
98.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
97.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
92.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
66.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
56.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
52.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
42.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
40.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
38.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
37.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
31.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
8.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
LTBP4 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
61.0
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
252.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
192.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
167.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
139.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
126.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
124.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
124.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
123.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
122.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
120.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
116.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
114.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
107.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
106.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
105.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
104.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
103.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
102.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
102.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
97.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
95.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
95.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
93.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
90.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
89.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
88.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
87.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
86.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
85.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
84.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
83.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
83.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
82.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
81.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
80.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
80.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
78.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
78.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
76.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
76.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
75.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
73.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
70.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
69.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
69.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
58.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
57.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
55.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
48.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
48.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
24.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
20.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
19.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
18.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
17.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
16.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
16.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
16.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
15.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
15.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
10.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
