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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.
VPS41 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
17.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
32.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
30.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
26.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
24.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
23.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
23.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
22.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
21.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
20.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
19.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
17.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
16.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
15.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
14.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
13.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
9.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
8.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
7.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 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.
VPS41 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
36.2
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
83.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
67.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
61.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
59.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
59.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
57.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
54.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
53.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
51.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
47.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
45.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
44.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
40.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
39.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
39.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
37.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
37.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
35.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
35.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
35.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
34.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
34.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
33.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
32.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
32.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
32.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
32.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
31.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
30.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
30.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
30.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
30.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
30.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
29.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
28.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
28.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
27.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
27.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
26.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
26.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
26.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
25.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
25.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
25.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
24.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
24.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
24.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
24.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
24.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
24.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
23.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
23.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
23.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
23.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
22.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
22.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
22.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
22.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
21.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
21.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
21.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
21.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
20.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
20.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
19.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
18.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
18.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
17.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
16.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VPS41 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
17.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
30.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
28.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
17.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
13.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VPS41 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
34.5
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
61.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
60.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
59.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
55.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
53.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
33.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
32.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
28.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
27.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
23.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
23.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
22.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
21.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
20.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
19.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
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Normal
0.4
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
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Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Normal
0.3
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Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
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
