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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.
YME1L1 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
49.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
136.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
123.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
97.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
97.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
88.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
85.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
81.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
80.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
80.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
75.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
73.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
72.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
71.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
69.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
69.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
68.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
63.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
63.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
63.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
63.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
62.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
62.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
61.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
61.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
60.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
57.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
56.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
56.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
55.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
55.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
52.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
51.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
50.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
50.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
49.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
49.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
48.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
48.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
48.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
46.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
43.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
43.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
43.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
42.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
41.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
41.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
41.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
39.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
38.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
37.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
34.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
33.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
32.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
YME1L1 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
101.9
Number of samples
486
Samples
Sample
Description
TPM
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
257.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
243.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
191.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
172.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
161.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
160.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
159.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
157.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
154.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
153.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
148.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
147.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
146.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
146.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
146.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
145.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
144.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
144.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
142.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
142.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
141.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
140.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
140.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
139.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
138.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
138.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
138.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
138.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
138.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
136.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
135.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
135.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
134.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
134.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
134.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
134.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
134.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
134.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
134.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
133.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
133.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
132.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
132.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
132.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
131.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
129.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
129.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
129.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
129.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
129.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
129.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
128.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
128.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
127.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
127.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
126.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
126.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
126.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
126.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
126.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
125.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
125.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
125.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
125.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
125.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
124.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
124.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
124.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
124.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
124.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
124.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
123.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
123.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
122.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
122.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
121.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
121.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
121.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
121.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
120.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
120.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
120.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
120.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
120.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
120.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
119.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
119.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
119.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
119.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
118.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
118.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
118.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
118.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
118.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
117.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
117.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
117.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
117.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
117.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
117.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
117.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
117.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
117.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
117.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
117.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
116.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
116.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
116.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
116.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
116.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
116.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
115.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
115.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
115.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
115.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
114.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
114.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
114.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
114.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
113.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
113.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
113.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
113.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
113.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
113.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
112.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
112.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
112.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
112.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
112.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
112.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
112.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
112.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
112.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
112.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
111.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
111.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
111.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
111.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
111.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
110.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
110.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
110.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
110.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
110.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
110.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
110.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
109.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
109.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
109.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
109.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
109.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
108.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
108.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
108.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
108.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
108.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
108.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
108.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
108.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
107.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
107.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
106.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
106.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
106.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
106.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
105.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
105.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
105.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
105.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
105.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
105.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
105.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
105.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
105.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
105.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
104.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
104.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
104.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
104.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
104.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
104.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
104.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
104.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
103.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
103.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
103.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
103.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
103.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
103.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
103.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
103.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
102.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
102.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
102.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
101.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
101.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
101.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
101.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
101.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
101.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
101.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
101.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
100.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
100.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
100.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
100.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
100.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
100.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
100.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
100.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
99.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
99.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
99.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
99.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
99.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
99.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
99.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
99.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
99.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
99.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
99.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
99.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
98.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
98.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
98.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
98.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
98.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
98.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
98.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
98.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
97.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
97.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
97.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
97.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
97.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
97.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
97.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
97.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
97.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
97.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
96.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
96.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
96.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
96.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
96.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
96.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
96.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
95.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
95.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
95.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
95.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
95.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
95.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
95.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
95.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
95.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
95.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
94.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
94.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
94.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
94.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
94.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
94.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
94.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
94.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
94.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
94.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
93.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
93.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
93.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
93.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
93.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
93.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
93.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
93.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
93.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
93.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
93.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
93.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
93.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
93.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
93.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
92.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
92.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
91.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
91.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
91.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
90.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
90.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
90.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
89.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
89.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
89.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
89.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
89.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
89.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
89.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
89.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
88.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
88.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
88.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
88.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
88.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
88.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
88.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
88.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
87.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
87.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
87.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
87.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
87.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
87.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
87.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
87.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
87.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
87.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
87.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
87.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
85.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
85.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
85.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
85.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
85.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
85.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
85.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
84.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
84.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
84.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
83.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
83.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
83.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
83.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
83.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
83.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
82.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
82.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
81.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
81.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
81.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
81.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
80.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
80.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
80.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
79.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
79.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
79.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
79.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
78.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
77.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
77.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
77.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
76.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
76.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
75.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
75.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
74.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
73.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
73.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
71.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
71.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
68.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
67.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
61.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
57.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.1
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.
YME1L1 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
47.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
91.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
84.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
71.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
63.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
62.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
59.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
55.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
55.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
53.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
52.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
48.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
47.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
38.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YME1L1 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
94.5
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
348.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
148.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
142.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
141.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
137.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
135.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
134.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
133.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
132.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
131.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
129.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
128.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
128.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
126.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
125.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
124.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
123.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
123.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
123.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
122.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
122.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
121.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
116.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
116.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
115.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
115.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
114.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
113.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
113.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
113.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
111.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
111.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
111.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
110.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
110.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
110.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
109.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
109.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
106.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
105.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
105.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
104.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
104.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
104.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
104.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
104.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
104.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
103.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
102.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
102.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
101.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
101.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
101.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
101.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
101.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
100.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
100.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
100.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
99.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
99.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
99.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
99.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
98.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
97.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
96.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
96.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
96.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
96.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
96.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
95.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
95.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
95.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
95.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
94.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
94.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
94.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
94.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
93.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
93.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
93.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
92.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
92.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
91.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
91.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
91.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
91.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
91.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
91.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
90.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
90.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
90.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
90.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
90.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
90.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
89.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
89.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
89.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
89.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
89.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
89.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
88.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
88.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
87.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
86.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
86.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
85.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
85.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
85.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
85.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
85.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
84.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
84.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
84.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
84.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
83.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
83.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
83.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
83.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
82.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
82.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
81.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
80.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
80.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
79.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
79.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
79.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
79.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
78.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
77.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
77.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
76.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
75.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
74.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
71.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
71.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
70.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
70.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
69.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
69.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
68.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
68.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
66.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
63.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
58.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
53.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
41.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
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Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
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Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
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Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
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Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
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Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
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
