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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.
VAT1 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
40.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
193.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
150.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
115.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
112.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
102.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
101.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
95.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
90.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
87.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
87.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
84.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
84.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
83.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
81.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
79.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
79.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
72.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
72.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
68.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
68.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
64.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
63.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
61.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
60.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
56.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
52.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
50.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
47.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
47.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
45.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
40.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
37.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
35.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
30.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
30.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
30.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
29.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
27.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
27.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
26.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
17.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
VAT1 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
41.7
Number of samples
486
Samples
Sample
Description
TPM
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
128.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
123.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
110.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
106.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
97.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
96.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
93.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
84.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
82.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
78.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
75.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
75.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
75.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
74.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
73.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
73.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
73.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
71.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
70.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
68.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
67.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
67.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
62.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
59.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
57.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
50.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
47.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
42.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
41.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
38.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
38.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
37.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
36.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
34.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
33.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
33.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
32.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
31.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
30.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
28.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
27.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
27.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
27.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
26.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
26.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
25.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
25.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
25.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
24.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
24.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
24.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
23.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
23.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
23.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
23.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
23.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
23.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
23.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
23.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
22.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
22.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
21.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
21.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
21.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
20.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
19.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
19.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
19.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
19.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
18.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
18.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
17.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
17.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
17.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
16.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
16.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
16.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
15.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
15.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
13.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.5
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.
VAT1 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
41.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
119.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
103.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
91.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
89.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
83.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
82.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
74.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
69.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
65.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
65.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
62.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
58.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
49.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
35.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.6
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.
VAT1 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
37.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
159.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
92.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
88.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
86.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
74.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
74.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
59.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
33.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
28.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
28.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
26.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
25.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
25.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
23.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
22.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
22.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
22.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
20.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
19.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
19.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
19.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
18.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
18.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
18.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
18.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
17.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
16.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
16.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
15.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
14.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
14.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
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Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
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Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.9
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Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
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
