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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VMP1 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
44.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
212.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
125.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
99.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
95.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
83.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
81.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
79.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
78.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
76.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
74.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
71.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
68.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
68.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
68.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
66.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
65.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
65.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
62.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
62.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
59.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
58.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
56.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
56.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
56.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
51.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
51.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
50.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
48.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
48.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
46.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
46.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
46.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
46.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
45.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
43.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
42.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
39.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
39.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
38.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
38.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
37.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
36.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
33.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
33.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
30.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
30.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
29.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 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.
VMP1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
44.7
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
104.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
97.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
93.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
91.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
90.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
77.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
72.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
64.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
63.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
62.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
61.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
60.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
60.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
52.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
52.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
50.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
50.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
48.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
47.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
45.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
44.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
42.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
42.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
42.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
36.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
35.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
35.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
34.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
34.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
31.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
29.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
28.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
25.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VMP1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
41.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
78.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
57.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
51.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
50.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
49.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
49.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
49.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
47.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
47.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
46.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
37.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
26.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
VMP1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
41.5
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
94.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
77.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
76.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
59.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
58.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
41.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
37.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
