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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.
VEZF1 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
15.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
31.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
24.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
23.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
22.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
22.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
22.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
22.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
22.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
20.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
19.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
19.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
19.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
19.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
19.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
16.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
16.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
16.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
13.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
12.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
11.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
9.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
8.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
VEZF1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
44.4
Number of samples
486
Samples
Sample
Description
TPM
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
102.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
84.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
81.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
63.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
61.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
61.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
57.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
56.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
55.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
53.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
51.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
50.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
47.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
46.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
45.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
45.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
43.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
42.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
41.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
40.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
37.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
35.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
32.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
25.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
VEZF1 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
15.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
29.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
23.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
21.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
18.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
17.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
15.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
14.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.0
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.
VEZF1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.5
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
56.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
52.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
44.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
33.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
28.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
23.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.2
b2400046-1d25-429d-a821-6040a6
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
