We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ILVBL 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
57.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
143.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
121.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
118.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
111.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
102.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
101.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
100.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
99.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
98.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
94.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
91.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
91.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
91.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
90.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
88.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
83.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
82.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
81.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
81.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
80.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
79.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
78.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
78.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
78.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
77.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
77.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
75.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
75.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
74.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
74.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
73.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
73.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
73.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
73.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
72.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
72.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
71.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
71.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
71.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
71.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
69.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
69.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
68.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
65.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
65.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
65.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
65.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
65.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
65.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
65.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
65.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
64.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
64.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
64.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
63.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
63.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
62.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
62.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
61.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
61.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
60.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
58.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
58.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
58.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
57.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
57.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
56.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
56.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
55.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
54.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
53.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
53.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
53.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
53.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
52.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
52.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
52.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
51.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
50.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
50.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
50.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
50.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
49.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
48.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
48.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
48.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
45.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
37.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
36.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
28.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ILVBL 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
30.4
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
84.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
53.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
52.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
49.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
42.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
39.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
38.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
36.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
34.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
33.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
32.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
32.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
32.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
31.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
30.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
30.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
29.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
29.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
28.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
28.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
28.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
28.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
27.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
27.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
27.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
27.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
26.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
26.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
26.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
25.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
25.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
24.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
24.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
24.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
23.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
23.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
23.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
23.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
23.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
23.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
23.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
23.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
22.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
22.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
22.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
22.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
22.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
22.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
22.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
21.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
21.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
21.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
21.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
21.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
21.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
20.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
20.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
20.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
20.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
20.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
20.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
20.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
19.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
19.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
19.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
19.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
19.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
19.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
19.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
19.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
19.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
19.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
19.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
18.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
18.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
18.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
18.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
18.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
18.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
18.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
18.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
18.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
18.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
18.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
18.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
18.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
18.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
17.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
17.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
17.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
17.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
17.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
17.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
17.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
16.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
16.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
16.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
16.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
15.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
15.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
15.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
15.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
15.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
15.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
15.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
14.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
13.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
9.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ILVBL is potential prognostic, high expression is favorable 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
51.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
117.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
109.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
99.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
99.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
98.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
81.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
81.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
81.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
78.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
77.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
74.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
71.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
67.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
66.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
64.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
63.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
55.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
54.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
54.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
48.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
47.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
44.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
37.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
32.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
ILVBL 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
27.1
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
37.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
31.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
29.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
29.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
29.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
27.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
26.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
25.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
25.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
24.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
24.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
24.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
23.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
23.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
23.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
22.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
22.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
22.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
22.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
21.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
21.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
20.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
20.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
20.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
20.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
20.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
20.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
20.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
19.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
19.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
19.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
19.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
18.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
18.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
18.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
18.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
18.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
18.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
18.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
17.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
17.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
16.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
15.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
15.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
15.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
14.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
13.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
13.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
12.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
9.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
9.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
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
