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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.
VPS37B 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
38.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
86.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
85.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
80.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
78.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
78.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
75.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
65.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
64.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
63.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
61.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
61.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
61.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
59.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
59.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
59.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
57.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
57.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
56.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
56.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
53.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
52.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
51.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
50.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
46.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
43.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
43.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
42.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
38.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
33.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
31.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
30.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
29.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
28.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
25.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
20.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
17.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 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.
VPS37B 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
45.2
Number of samples
486
Samples
Sample
Description
TPM
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
131.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
120.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
113.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
95.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
88.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
82.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
81.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
79.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
73.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
71.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
71.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
70.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
69.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
69.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
68.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
67.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
64.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
63.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
62.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
61.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
59.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
58.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
57.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
50.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
45.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
37.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
35.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
35.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
34.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
33.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
32.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
32.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
28.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
28.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
28.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
27.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
26.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
26.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
25.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
25.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
22.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
21.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
21.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
19.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
19.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
18.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
17.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
11.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
10.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
VPS37B 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
33.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
45.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
44.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
42.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
39.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
31.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
25.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
20.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VPS37B 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
39.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
105.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
61.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
41.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
36.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
32.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
31.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
29.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
28.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
27.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
24.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
23.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
22.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
17.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
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Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
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Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
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Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
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Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
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Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
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Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
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Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-2.0
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
